{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "prompt-paintball",
   "metadata": {},
   "source": [
    "# Tensor Factorization (multiple conditions)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "excited-visiting",
   "metadata": {},
   "source": [
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/earmingol/scCellFie/blob/main/docs/source/notebooks/tensor_factorization.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "burning-alliance",
   "metadata": {},
   "source": [
    "This notebook shows how to find patterns of metabolic activities across multiple samples/conditions simultaneously. For this, we use a non-negative tensor factorization. Briefly, tensor factorization is an unsupervised approach that relies on data organized as tensors, in this case a 3D tensor where dimensions corresponds to samples/conditions, cell types, and metabolic tasks. If you are interested, we recommened reading [this review](https://doi.org/10.1016/j.cels.2024.07.004).\n",
    "\n",
    "To illustrate this application application, the dataset we are using here includes [BALF samples from donors with varying severities of COVID-19](https://zenodo.org/record/7535867/files/BALF-COVID19-Liao_et_al-NatMed-2020.h5ad) [(Liao et al 2020)](https://doi.org/10.1038/s41591-020-0901-9)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "amino-flesh",
   "metadata": {},
   "source": [
    "## This tutorial includes following steps:\n",
    "* [Loading libraries](#loading-libraries)\n",
    "* [Loading COVID-19 data](#loading-covid-19-data)\n",
    "* [Run scCellFie](#run-sccellfie)\n",
    "* [Generate tensor](#generate-tensor)\n",
    "* [Tensor factorization](#tensor-factorization)\n",
    "* [Tensor factorization results](#tensor-factorization-results)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "geological-observer",
   "metadata": {},
   "source": [
    "## Loading libraries <a class=\"anchor\" id=\"loading-libraries\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "driving-conducting",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jovyan/my-conda-envs/single_cell/lib/python3.10/site-packages/dask/dataframe/__init__.py:31: FutureWarning: The legacy Dask DataFrame implementation is deprecated and will be removed in a future version. Set the configuration option `dataframe.query-planning` to `True` or None to enable the new Dask Dataframe implementation and silence this warning.\n",
      "  warnings.warn(\n",
      "2025-09-03 18:44:11.561269: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "E0000 00:00:1756925051.584280    1125 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "E0000 00:00:1756925051.591379    1125 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2025-09-03 18:44:11.619524: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import scanpy as sc\n",
    "import sccellfie\n",
    "import cell2cell as c2c\n",
    "\n",
    "from tqdm import tqdm\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import marsilea.plotter as mp\n",
    "import marsilea as ma\n",
    "\n",
    "import glasbey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "competent-scene",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Font name: `Lato`\n"
     ]
    }
   ],
   "source": [
    "import mpl_fontkit as fk\n",
    "fk.install(\"Lato\")\n",
    "fk.set_font(\"Lato\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "attractive-absence",
   "metadata": {},
   "source": [
    "## Loading COVID-19 data <a class=\"anchor\" id=\"loading-covid-19-data\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "optimum-graduation",
   "metadata": {},
   "source": [
    "We start loading our single-cell data. In this case, `adata.X` already contains raw counts, which are the main inputs of scCellFie."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "automated-ordinance",
   "metadata": {},
   "outputs": [],
   "source": [
    "adata = c2c.datasets.balf_covid('BALF-COVID19.h5ad')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "compact-winner",
   "metadata": {},
   "source": [
    "## Run scCellFie <a class=\"anchor\" id=\"run-sccellfie\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "social-convergence",
   "metadata": {},
   "source": [
    "Now we run scCellFie on the raw data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "opened-chrome",
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_key = 'sample' # Specify batch_key or leave as None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "present-franchise",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "==== scCellFie Pipeline: Initializing ====\n",
      "Loading scCellFie database for organism: human\n",
      "\n",
      "==== scCellFie Pipeline: Processing entire dataset ====\n",
      "\n",
      "---- scCellFie Step: Preprocessing data ----\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jovyan/my-conda-envs/single_cell/lib/python3.10/site-packages/sccellfie/preprocessing/adata_utils.py:130: UserWarning: n_counts not found in adata.obs. Calculating total counts.\n",
      "  warnings.warn(f\"{n_counts_key} not found in adata.obs. Calculating total counts.\", UserWarning)\n",
      "/home/jovyan/my-conda-envs/single_cell/lib/python3.10/site-packages/sccellfie/preprocessing/adata_utils.py:151: UserWarning: Normalizing data.\n",
      "  warnings.warn(\"Normalizing data.\", UserWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- scCellFie Step: Computing neighbors ----\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jovyan/my-conda-envs/single_cell/lib/python3.10/site-packages/scanpy/preprocessing/_highly_variable_genes.py:73: UserWarning: `flavor='seurat_v3'` expects raw count data, but non-integers were found.\n",
      "  warnings.warn(\n",
      "/home/jovyan/my-conda-envs/single_cell/lib/python3.10/site-packages/sccellfie/sccellfie_pipeline.py:414: FutureWarning: The specified parameters ('basis',) are no longer positional. Please specify them like `basis=True`\n",
      "  sc.external.pp.harmony_integrate(bdata, batch_key, verbose)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- scCellFie Step: Preparing inputs ----\n",
      "Gene names corrected to match database: 22\n",
      "Shape of new adata object: (63103, 930)\n",
      "Number of GPRs: 787\n",
      "Shape of tasks by genes: (218, 930)\n",
      "Shape of reactions by genes: (787, 930)\n",
      "Shape of tasks by reactions: (218, 787)\n",
      "\n",
      "---- scCellFie Step: Smoothing gene expression ----\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Smoothing Expression: 100%|██████████| 13/13 [00:04<00:00,  3.08it/s]\n",
      "/home/jovyan/my-conda-envs/single_cell/lib/python3.10/site-packages/sccellfie/expression/smoothing.py:188: ImplicitModificationWarning: Setting element `.layers['smoothed_X']` of view, initializing view as actual.\n",
      "  adata.layers[key_added] = smoothed_matrix\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- scCellFie Step: Computing gene scores ----\n",
      "\n",
      "---- scCellFie Step: Computing reaction activity ----\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Cell Rxn Activities: 100%|██████████| 63103/63103 [05:38<00:00, 186.58it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "---- scCellFie Step: Computing metabolic task activity ----\n",
      "Removed 1 metabolic tasks with zeros across all cells.\n",
      "\n",
      "==== scCellFie Pipeline: Processing completed successfully ====\n"
     ]
    }
   ],
   "source": [
    "results = sccellfie.run_sccellfie_pipeline(adata, # Raw counts\n",
    "                                           organism='human',\n",
    "                                           sccellfie_data_folder=None,\n",
    "                                           n_counts_col='n_counts', # Column where total counts per cells are stored in adata.obs\n",
    "                                           process_by_group=False, # Whether to do the processing by cell groups\n",
    "                                           groupby=None, # Column indicating cell groups if `process_by_group=True`\n",
    "                                           neighbors_key='neighbors', # Neighbors information if precomputed. Otherwise, it will be computed here\n",
    "                                           n_neighbors=10, # Number of neighbors to use\n",
    "                                           batch_key=batch_key, # None if batches are not included\n",
    "                                           threshold_key='sccellfie_threshold', # This is for using the default database. If personalized thresholds are used, specificy column name\n",
    "                                           smooth_cells=True, # Whether to perform gene expression smoothing before running the tool\n",
    "                                           alpha=0.33, # Importance of neighbors' expression for the smoothing (0 to 1)\n",
    "                                           chunk_size=5000, # Number of chunks to run the processing steps (helps with the memory)\n",
    "                                           disable_pbar=False, \n",
    "                                           save_folder=None, # In case results will be saved. If so, results will not be returned and should be loaded from the folder (see sccellfie.io.load_data function\n",
    "                                           save_filename=None # Name for saving the files, otherwise a default name will be used\n",
    "                                          )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "played-weekend",
   "metadata": {},
   "source": [
    "## Generate tensor <a class=\"anchor\" id=\"generate-tensor\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "angry-television",
   "metadata": {},
   "source": [
    "Once we have the results we can start generating the tensor for the factorization. However, we first need to preprocess the results."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "legal-english",
   "metadata": {},
   "source": [
    "### Min-max normalization\n",
    "\n",
    "In this case, we min-max-normalize the metabolic task activities across single cells:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "elect-identifier",
   "metadata": {},
   "outputs": [],
   "source": [
    "mt_original = results['adata'].metabolic_tasks.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "latest-italy",
   "metadata": {},
   "outputs": [],
   "source": [
    "results['adata'].metabolic_tasks.X = np.clip((mt_original.X - mt_original.X.min (axis=0))/(mt_original.X.max(axis=0) - mt_original.X.min (axis=0)),\n",
    "                                             a_min=0., \n",
    "                                             a_max=1.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "minus-guarantee",
   "metadata": {},
   "source": [
    "### Tensor creation\n",
    "\n",
    "Conveniently, scCellFie can be connected with cell2cell to handle tensors and perform the tensor factorization. This function below is designed to generate the inputs that cell2cell will use to generate a `PreBuiltTensor` object containing all the functions to perform our analysis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "expanded-weekend",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using metabolic_tasks with 217 features and 63103 cells\n",
      "Aggregating metabolic_task scores using 'trimean' method...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Processing contexts: 100%|██████████| 12/12 [00:06<00:00,  1.82it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Building tensor with dimensions:\n",
      "  Contexts: 12\n",
      "  Cell Types: 10\n",
      "  Features: 217\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building tensor: 100%|██████████| 12/12 [00:00<00:00, 40.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Tensor built successfully!\n",
      "Shape: (12, 10, 217)\n",
      "Non-zero elements: 19530\n",
      "Fill value: nan\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "tensor_data = sccellfie.external.sccellfie_to_tensor(results,\n",
    "                                                     sample_key='sample_new',\n",
    "                                                     celltype_key='celltype',\n",
    "                                                     score_type='metabolic_tasks',\n",
    "                                                     min_cells_per_group=5,\n",
    "                                                     agg_func='trimean',\n",
    "                                                     use_raw=False,\n",
    "                                                     order_labels=None,\n",
    "                                                     sort_elements=True,\n",
    "                                                     context_order=None,\n",
    "                                                     fill_value=np.nan,\n",
    "                                                     verbose=True\n",
    "                                                    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "latter-keyboard",
   "metadata": {},
   "source": [
    "Next we use cell2cell to generate the tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "narrow-battery",
   "metadata": {},
   "outputs": [],
   "source": [
    "tensor = c2c.tensor.PreBuiltTensor(**tensor_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "personal-consultancy",
   "metadata": {},
   "source": [
    "### Tensor metadata\n",
    "\n",
    "To plot the results later, we generate metadata useful for coloring tasks and samples/conditions by their major groups."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "wrapped-score",
   "metadata": {},
   "source": [
    "First, we generate groups for the metabolic tasks, based on the ``\"System\"`` column in the scCellFie database (``results['task_info']``):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "indian-memorial",
   "metadata": {},
   "outputs": [],
   "source": [
    "task_mapper = results['task_info'].set_index('Task')['System'].to_dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "proud-plaintiff",
   "metadata": {},
   "outputs": [],
   "source": [
    "met_functions = {task: task_mapper[task] for task in tensor.order_names[2]}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "german-joseph",
   "metadata": {},
   "source": [
    "And for the samples, based on the disease condition (here, COVID-19 severity):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "infinite-cedar",
   "metadata": {},
   "outputs": [],
   "source": [
    "def context_mapper(context):\n",
    "    if 'HC' in context: return 'Control'\n",
    "    elif 'M' in context: return 'Moderate'\n",
    "    elif 'S' in context: return 'Severe'\n",
    "    else: return 'NA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "young-attraction",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_groups = {context: context_mapper(context) for context in tensor.order_names[0]}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "entitled-hopkins",
   "metadata": {},
   "source": [
    "Then, create the metadata object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "enormous-commitment",
   "metadata": {},
   "outputs": [],
   "source": [
    "meta_tf = c2c.tensor.generate_tensor_metadata(interaction_tensor=tensor,\n",
    "                                              metadata_dicts=[sample_groups, None, met_functions],\n",
    "                                              fill_with_order_elements=True\n",
    "                                             )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "northern-mistress",
   "metadata": {},
   "source": [
    "### Sort tensor elements by ordered categories\n",
    "\n",
    "Then, based on this metadata, we can sort the tensor by the categories and their elements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "classical-performance",
   "metadata": {},
   "outputs": [],
   "source": [
    "meta_tf[2].sort_values(['Category', 'Element'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "annoying-rehabilitation",
   "metadata": {},
   "outputs": [],
   "source": [
    "tensor = c2c.tensor.subset_tensor(tensor, subset_dict={2: meta_tf[2]['Element'].values.tolist()})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "loving-click",
   "metadata": {},
   "source": [
    "## Tensor factorization <a class=\"anchor\" id=\"tensor-factorization\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sophisticated-collectible",
   "metadata": {},
   "source": [
    "### Number of factors\n",
    "\n",
    "To select the number of factors for the tensor factorization, we could do it either manually or automatically from an Elbow analysis.\n",
    "\n",
    "By selecting the parameter ``automatic_elbow=True`` we automatically select the number of factors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "civic-madness",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 25/25 [01:39<00:00,  3.96s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The rank at the elbow is: 6\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "elbow, error = tensor.elbow_rank_selection(upper_rank=25,\n",
    "                                           runs=1, # This can be increased for more robust results\n",
    "                                           init='random',\n",
    "                                           automatic_elbow=True,\n",
    "                                           random_state=888,\n",
    "                                          )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "loving-fantasy",
   "metadata": {},
   "source": [
    "### Running tensor factorization\n",
    "\n",
    "Since we are relying on cell2cell, this is easily implemented. In this case, it performs, by default, a *non-negative CANDECOMP/PARAFAC* tensor factorization:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "graphic-smith",
   "metadata": {},
   "outputs": [],
   "source": [
    "tensor.compute_tensor_factorization(rank=tensor.rank,\n",
    "                                    init='svd', \n",
    "                                    random_state=888)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "matched-marshall",
   "metadata": {},
   "source": [
    "Main results of the factorization can be found in ``tensor.tl_object`` and ``tensor.factors``. The latter is a dictionary containing the loadings for elements in each dimensions per factor, which are key to understand the identified patterns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "higher-insert",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "odict_keys(['Contexts', 'Cell Types', 'Metabolic Tasks'])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tensor.factors.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "final-donna",
   "metadata": {},
   "source": [
    "## Tensor factorization results <a class=\"anchor\" id=\"tensor-factorization-results\"></a>\n",
    "\n",
    "\n",
    "Again, cell2cell facilitates running the tensor factorization, but also visualizing results. We first start with bar plots for the loadings of each element across tensor dimensions:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "automatic-processing",
   "metadata": {},
   "source": [
    "### Bar plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "separated-spyware",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S6tevr8cff1yxsbG6evVqied18eJFvfbaazp69GiJry1JCxYs0GeffeaStQHYp7Tuaz/++KNMJlOxXsuWLSvxPAEUT/7/215eXtq0aVOR5125ckUtW7aUyWTS9OnT7cohLy9Pb7zxhnbv3m1XHFf67bfftGrVKp07d06xsbF2x2vUqFGx9tuRI0fafxEAAAAA3F5FVycA2OLw4cMaPHiw/v3vf6tKlSoKCQlRs2bNVKFCBR0/flyff/65Nm7cqNdee01ffPGFgoKCSiy35ORkvfrqq7rvvvvUrFmzEltXkrKzszVhwgS99NJL6tmzZ4muDcA+pXlfCwgI0IwZMwq0z549WxcuXNDo0aPVuHFji77777+/pNIDYKdr167p+eef16FDh+Tj43PH8TNnztThw4cdsvb333+v8PBwzZ8/Xx06dHBIzJJWo0YN/eUvf9HWrVv18ssv2x1vypQpunDhgkXb+vXr9e233+rhhx9Wjx49LPp+97vf2b0mAAAAAPdHMQhlzv79+9W1a1dlZGRo7NixeuONN1S9enWLMVevXtXf//53paWlqWHDhiWan6vuCJKktLQ05eXluWx9ALYp7fuan5+fXnnllQLtixcv1oULFzR8+HB17969RHMC4DgVK1bU8ePHNWvWrDve6XP8+HHNnj1bFSpU0PXr1+1e25U/NznSa6+9ptdee80hsV544YUCbWlpafr222/1+9//3up+DAAAAAB3QjEIZUpOTo4GDBigjIwMTZw4UW+99ZbVcT4+Pi77i7Ir/1HDXf5BBShPysK+BsC9derUSefPn9cbb7yhZ555RnfffXehY1966SVdvXpVY8eO1eLFi+1em59dAAAAAKBk8MwglCmxsbFKS0tTvXr19MYbb9gU47PPPlPfvn0VGBgoLy8vNWjQQKNGjVJqamqBsd27d1dAQICys7O1du1ade7cWVWqVJGfn5/69++vY8eOmccuWrRIDRo00D/+8Q9JUt++fc1nud/6Kdt9+/Zp6NChqlOnjjmHcePG6dSpU+YxKSkp8vLy0l133aX//Oc/BXLr16+fTCaTVq5cqb1796pp06b6wx/+IOnG0U35a9/8af0LFy7oL3/5ixo3biwvLy8FBgbqqaee0t69e236WgKwnyP2tZ07d6pfv34KDAyUt7e3mjZtqj//+c8FjhkqSXl5eWrSpIm8vLy0Y8cOq2P27Nkjb29v8z6V/6DyN954QxkZGZoyZYqCgoLk7e2t5s2ba86cOTIMo0Ccouyp+datW6cHH3xQvr6+qly5sjp27Kh3332XuypRrlWoUEHz5s3T1atXNXHixELHff7559qwYYOeeuopde7cudBxx48fV1hYmPn/39q1a2vYsGEWR8slJCSoUaNG5mPVJkyYUOgzcDZs2KC+ffuqZs2a8vLyUtOmTfX2229b3Q/ypaam6qmnntJdd92lSpUqqUOHDtqwYYPVscX52bAw3bt3l8lkUkJCQoG+jRs3qlevXqpevbq8vb3VpEkTTZo0SWfOnCly/KL6+eefFR4ertatW6ty5cqqVq2aHn/8cX3//fcFxu7du1f9+vVTQECAeZ995ZVXlJGRUaS1Xn/9dXl6eqpfv37mPTT/LtbmzZvL29tb1atXV58+ffTFF1849DoBAAAAFB93BqFMWbt2rSRp6NCh8vb2Lvb8adOmacaMGQoICNDAgQNVu3ZtHT16VCtXrtTq1au1du1a9e7d22LOhQsX9NRTT2n79u0aOHCgunbtqq1btyo+Pl579+7VkSNH5OPjow4dOigsLExLlizRjz/+qGHDhql58+aSpN///vfmeHFxcRo8eLC8vLw0YMAANWjQQP/5z3+0YsUKxcfHKzk5WY0aNVK7du3017/+VRERERo7dqw+++wzc4wFCxZow4YNGjZsmIYOHapff/1Vo0eP1pYtW7Rt2zZ17txZjz76qCSZnyuSk5Ojbt26ad++ferevbuGDBmi8+fPa+PGjfq///s/nThxQr6+vsX+mgKwj7372jvvvKM//elPuuuuu9S/f38FBgbq6NGjmjt3rhISEvTVV18pICDA0WnfkYeHhyZOnKiJEyfq73//u7p161ZgzFtvvaWcnBy9+OKLFu2bNm3Se++9p7p162rIkCH6+eefFR8fr8mTJ+v06dN68803zWOLuqdK0htvvKHw8HDVq1dPzz77rHx8fPT1118rLCxMfn5+evrpp535JQFKtUceeUT9+/dXXFycNm7cqL59+1r0X7t2TRMnTpSPj4/+9re/adu2bVbjfPXVV3rsscd09epV9evXT02bNtUvv/yitWvXKj4+Xtu2bdMDDzyg4OBg/fGPf9S6dev07bffKjQ0VB07dpRk+QycYcOGaeXKlWratKmeeuop+fj4aP369Zo4caL279+v9957r0AOu3bt0uLFi/V///d/CgsL06FDh7Rx40b1799fq1at0lNPPWUea8vPhsURERGhWbNmqVq1aho4cKDq1q2rI0eOKCYmRsnJyfrqq69sjn2rPXv2qGfPnrp06ZL69u2rxx9/XGlpaVq7dq22bdumPXv2qEWLFpJufI169OghT09PPf3006pbt64OHz6sN998U7/99ptiYmJuu9ayZcv0yiuvqGPHjvrnP/8pD48bnzEcMGCANm3apHbt2pnvItu0aZN69eql48ePq379+g67XgAAAADFZABlSM2aNQ1Jxpo1a4o99/PPPzckGY0bNzbS09Mt+nbs2GGYTCbDz8/P+O2338zt3bp1MyQZDz30kMWc3Nxco1OnToYkY8GCBRax8uds3LixQA5nzpwxqlSpYjRs2NA4deqURd/BgwcNX19fY+DAgea269evm+MtWrTIMAzDOHz4sOHr62vcfffdRmZmpkWMyMhIQ5IxefLkAmsnJiYakoz+/ftbtOfk5BT4egAoOfbsa/v27TMqVKhgtG3btsB+sHXrVsPDw8OYMmWKuW3btm2GJKNdu3YWY2+3d9xOUFCQIcnYtm2b1f6LFy8afn5+hoeHh/H9999b9J05c8bw8vIyGjdubFy/ft0iP5PJZLz77rsW448cOWL4+voaHh4exrFjx8wxirOnBgYGGj4+PsaZM2csxv7000/Fum7AXRw/ftyQZHTr1s0wDMP44YcfDB8fH6Nx48ZGVlaWxdjZs2cbkoz/9//+n2EYhhEbG2tIMiIjI81jrl69ajRo0MDw8/MzDhw4YDH/9OnTRu3atY327dtbtI8YMcKQZMyfP99qjuvWrTPeffdd8z5hGIbx22+/GQEBAYbJZLL4/zd/L6tevbqxe/duizgffPCBIclo0KCBOZYtPxsWtl9a+/nvs88+MyQZtWvXLrDPnDp1yjh+/LjVa7Ym/+t089f7VpmZmUZERIRx9OhRi/Zp06YZkowxY8aY2wYNGmRIMjZs2GAx9syZMxb/7a1939iyZYvh6elpNGnSxPjll1/M7QcPHjQkGe3btzdyc3PN7Xl5ecZ//vOfIl8rAAAAAOfgmDiUKefPn5ckmz7lPn/+fEk3PgFap04di77f//735md2LF++vMDciIgIizkVKlTQk08+KUnavXt3kXOIjY3VpUuX9Ic//EFXrlxRWlqa+eXl5aUHHnhAGzduVE5OjqQbn6xfsWKF/P39NWXKFP3www8aNmyYcnJy9OGHH6pq1apFXjs/pmEYFscheXp6Fvh6ACg59uxrCxYs0PXr1zVq1CidOXPGYk9p2LCh7r77bq1bt87RKRdZlSpVNHbsWOXl5ZmP0My3ePFi5eTk6IUXXjB/ojxf27Zt9cc//tGirVmzZnrqqaeUl5dnPuqpuHtqTk6OPDw8zO/zNWzY0NGXDpRJjRs31uTJk3X8+HHNmjXL3H7mzBlFRUWpdu3aioiIKHR+fHy8Tpw4odDQUHl7e1v8P3np0iU98sgj+uabb6wef1uYAQMG6I9//KPFPlG9enV17dpVhmFoz549BeaMHDlSDzzwgEXb0KFD1ahRI504ccJ8PK49PxsWRX788PDwAvtM3bp1zXctOkrVqlU1c+ZM3XPPPRbt/fr1kyT961//Mrfl74O5ubkWY2vWrCkfH59C1zh48KCefPJJ+fn5adOmTQoMDCwQ02QyWcQ1mUxq0KCBbRcFAAAAwGEoBqFM8fPzk6Qin2V+s6+//lqS1KFDB6v9+c+sSE5OLlK8u+66S5J06dKlIueQ/5fwN954Q/fcc0+B144dO5Sdna1ff/3VPKdhw4aKiYnRxYsX1aVLF33zzTeKiooq9DoK07NnT7Vq1Urx8fG6//77NWfOHKWlpRUrBgDHs2dfy99T/vSnP1ndU9LS0nTy5EmH5ltcEyZMUIUKFbR06VJdvnxZknT9+nUtXLhQVapU0ZgxYwrMMZlMVmPdd999kmR+jkdx99RJkybpypUruvfeezVx4kR98cUXun79uqMvGSjTIiIizM8w++GHHyTdKGZkZmbq9ddfV5UqVQqdm///5MqVK63+P7ly5UpJsmtfunLlitLT0+Xp6SnJ+s9hd9pD8p9d5OifDW+VP69Hjx42zbeXYRj69ddfdeXKFUmWX6s//elPqlChgp5++mkNHjxYH330kS5evFhorOzsbP3rX/9Snz59lJOTo48//rhA0el3v/udevTooT179qh169Z67bXXtG/fPudcHAAAAIBi45lBKFNatWqlHTt2KCUlxXxnTlHlf/q+Vq1aVvtr164tSTp37lyx4hq3eXjxrfL/Ev7qq6/q3nvvtTrGy8vLnEu+AQMGqE6dOjp9+rRMJpMGDBhQrBwlydfXV19++aX+/ve/6/3339fkyZM1efJkdenSRXPnzlX79u2LHROA/ezZ1/L3lLfffrvQO/zyi02uEhQUpAEDBuijjz7S+++/r3Hjxmnjxo06ceKEnn/++WLlV6lSJUkyF5WKu6dOmzZNwcHBmj9/vt555x29/fbbqlWrliIiIjRx4kR7LhNwG5UrV9bf/vY3DR06VC+99JJeffVVLV++XPfff79Gjhx527n5/0+GhYUpJCTE6pgKFSqobdu2xcopISFBH3zwgXbt2qVTp05Z9BXn57Bb9xBn/WyYLz9+Sd6Bffr0ab377rtKTEzUgQMHlJWVZe67+WvVo0cP/etf/9Ibb7yhjz/+WKtXr1alSpU0evRoRUdHF7j7/MCBA+rUqZMk6emnn9aDDz5YYG2TyaTExES98847Wrp0qV599VXz/vzmm2+qZ8+eTrpqAAAAAEVBMQhlSt++fbVjxw7985//VFRUlPlToUUREBCgs2fP6pdfflGNGjUK9J85c0bSjaNHnCX/KI177rlHAwcOLPK8V199VadPn1bPnj312WefafTo0dq5c6cqVKhQrPX9/Pw0Y8YMzZgxQ3v37tWSJUu0cOFCPfLII9q/fz9HJQEuYM++FhgYqGPHjum+++5T165dnZilfV566SV99NFHeueddzRu3DgtWLBAJpNJEyZMKFac/H8Ezt/DbdlTBw4cqIEDB+qXX37RunXr9Nprr+nFF1+UJApCwH8NGTJECxYs0Mcff6wff/xRhmFozpw5BY50vFX+/5P16tUr1s85hcnNzdXAgQO1YcMG3X333erXr59atGih6tWr691339WOHTuKFe/WPcTZPxv6+/vr119/VXp6uvmOcmfaunWrBgwYoKysLPXq1Ut9+/ZV/fr1dfnyZav7bbt27bRmzRpduXJFn376qf72t7/pH//4h06dOqW4uDiLsXfffbeioqI0bdo0rV69Wu3bt9eUKVMKxPTx8dGUKVM0ZcoUHTlyRCtWrNDs2bMVGhqqL7/8ssDxfQAAAABKDsfEoUx59tlnFRgYqJ9++kkzZswo1tz8TzAmJSVZ7d+5c6ckmT/16AxdunSRdOMTrkWVlJSkv//977r33nv18ccf68knn9TXX3+tN954w65c7r//fv3jH/9QWFiYMjMz9eWXX9oVD4Bt7NnXbNlTXOHBBx9Ux44ddfDgQS1dulRbtmzRo48+qubNmxcrzvbt2yVJHTt2lGTf9desWVPjx483/4PnJ598UuwYgDt7++235eHhoX379mnAgAHq1q3bHec4ek9atWqVNmzYoGHDhunYsWN655139MILL2jIkCHFft7OhQsX9N1338lkMpn3EGf/bJhf+Ni2bZtN84srLCxMV69e1d69e7Vx40a9+uqrGjVqlEJDQ287z9fXVwMGDFBSUpL8/f2t7ocBAQEaNmyYtmzZojp16mjq1KlavXr1beM2b95cr7/+uv7617/q2rVr2rJli13XBwAAAMA+FINQplStWlUffPCBKlSooBkzZig8PNx8DvrNLly4oHHjxunee+81Pysi/xORM2fONH/SM9/XX3+tjz76SH5+fhoxYoTdOUrS2bNnJUl5eXnmvmHDhumuu+7SRx99ZH4A+s02bNhg8RfljIwMPfPMM/L09NQHH3wgb29v/eMf/1D16tUVFRWlf//737ddW5L5eRiXLl1SYmKiRT6SdPToUUk3jnICUPLs2dfGjx8vb29vzZ8/3+LB4NKNvWfFihVKSUkpkeu4k5deeknSjef2GIZx27twjh8/XuCZZnFxcUpKStJdd91lPiqzuHvqli1b9Msvv1iMOXLkiCT2QOBW999/v6ZPn64OHTpozpw5RZrTq1cvtWzZUrt379bbb79doH/Hjh366KOPLNqs/eyS/7NKenq6pBtFhZvvSvr+++9v+xyfL7/8ssA+GhkZqczMTD322GNq0KCBJOf/bPj8889LkqKjo3Xs2DGLvkOHDmn9+vU2xS1Menq6vLy81LRpU3NbXl6ePvzwwwJj9+3bp4MHDxaYf/Hixdvuh3fffbc2b94sf39/jRgxwqKQlpubqw0bNignJ8diDvssAAAAUDpwTBzKnJ49e2rTpk0aPny43njjDS1ZskSPPvqoGjdurGvXrunYsWP67LPPdPHiRfXv39985FJISIheffVVzZgxQ61atdLAgQNVq1YtHTt2TOvWrZOXl5dWrlxp9zFxnTt3VkJCgl5++WV9/fXXSkpK0ujRozV16lRVrVpVH374ofr166f+/furd+/eatu2rc6fP69t27bp0KFD6t+/v/mc/RdeeEE//fSTZs+erTZt2ki6ca793LlzNWLECD3zzDPas2ePvLy8zGtL0j//+U8ZhqETJ07I19dXiYmJevfddzV58mQ1a9ZMvXr1UpUqVbRt2zYlJyerV69eeuihh+y6bgC2s3Vfa9Sokd577z2NHj1aXbt2Vf/+/dW8eXOdOXNGn332mX788Ue99NJLateunYuvUHryySfVoEEDnThxQi1atLjtsyOysrLUrl07DRw4UPXr19fBgwcVFxcnLy8vrVixQpUrV5akYu2pp0+fVmhoqDw9PfXEE0+ocePG+umnn7R69WpVq1ZNkydPLqkvBVBm5D/zpag8PDy0atUqhYSEaOLEiVq3bp26dOmiy5cv6+uvv9bu3bvVvn17DRgwwHzUbefOnfXOO+9o9uzZOnXqlL777jt16NBBCxYsUO/evfXqq69q5syZOnnypAIDA5Wamqpt27apW7du5iLDrc6dO6fg4GD1799flStX1hdffKGvv/5a9evX14IFC8zjnP2zYZ8+fTRhwgTNnz9f999/v4YMGaI6dero0KFDio+PV/PmzdW3b99iHQ96O/369dOHH36orl276tFHH9XFixe1adMmNW3atMA1DB8+XAcOHFCvXr30u9/9TpcvX9aqVat0/fp1TZ8+/bbrtGnTRomJiQoJCVG/fv20a9cuBQcHm+9gr1+/vkJDQ1WjRg3t2bNHn332me69995iPxcPAAAAgIMZQBl16dIlY968eUZISIhRq1Ytw9PT06hWrZrRokULY8yYMUZSUpLVeZs2bTIee+wxo3r16oanp6dRr149Y/jw4cbBgwcLjO3WrZshydi4cWOBvtjYWEOS8eSTT1q0Z2VlGc8++6xx1113GZUrVzYeffRRIyUlxWLM0aNHjdGjRxv169c3PD09jerVqxshISHGihUrjNzcXMMwDGP16tWGJKN3795GXl5egfUHDBhgSDJefvlli/Z58+YZQUFBhpeXl9G2bVtjzZo1hmEYRl5enrFs2TKjc+fORpUqVQwvLy+jRYsWxl//+lcjKyvrNl9pACXF1n3tm2++MZ566imjVq1aRsWKFY2aNWsaffv2NTZs2GAxbtu2bYYko127dhbtkZGRhiRj8uTJxco3KCjIkGRs27atSOMnTZpkSDIWLFhgtf/m/D7++GOjffv2hre3t+Hv72+EhoYae/bssTqvKHuqYRjGvn37jCFDhhi1a9c2f50GDx5spKamFuu6AXdx/PhxQ5LRrVu3Ys/N/zkoMjKyQN+pU6eMiRMnGnfffbfh5eVl+Pn5GV26dDHmz59f4GeOvLw8IyIiwqhTp47h4+NjdOnSxdi6dau5PyEhwbjvvvsMHx8fo2bNmsawYcOMY8eOGXv37jU8PT2N2NhY89jIyEjDZDIZCQkJRkxMjNG8eXPDy8vLqFu3rjFu3Djj559/tnotxfnZsLD98nY/M37wwQdGp06dDF9fX8PX19do27at8frrrxuZmZm3+xJbGDFiRKFf73wXLlwwxo4dawQGBhqVKlUy2rZtayxcuNC4fv26MXDgQCMoKMg89pdffjEmT55sNG3a1PDy8jKqVatm9OjRw9i0aZNFzMK+bxiGYWzevNmoWrWq0bBhQyM9Pd0wDMP4+OOPjf/7v/8z/Pz8DE9PT6Nx48bGpEmTjPPnzxf5WgEAAAA4h8kwDMMFNSgAAFCOXL9+Xc2aNdO5c+d08uRJ8909N9u+fbsefvhhtWvXTt98840LsgQAAAAAAHBPPDMIAAA43UcffaQffvhBY8eOtVoIAgAAAAAAgPNQDAIAAE735ptvqkKFCnrhhRdcnQoAAAAAAEC5QzEIAAA41eeff669e/fqmWeeUVBQkKvTAQAAAAAAKHd4ZhAAAAAAAAAAAIAb484gAAAAAAAAAAAAN0YxCAAAAAAAAAAAwI1RDAIAAAAAAAAAAHBjFIMAAAAAAAAAAADcGMUgAAAAAAAAAAAAN0YxCAAAAAAAAAAAwI1RDAIAAAAAAAAAAHBjFIMAAAAAAAAAAADc2P8HM/wbpa3GZXQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 18 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = c2c.plotting.tensor_factors_plot(tensor, metadata=meta_tf, meta_cmaps=['inferno', 'tab10', 'tab20'], fontsize=14, filename='BarPlots-Factors-MetabolicTasks.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "infectious-gabriel",
   "metadata": {},
   "source": [
    "### Top metabolic tasks\n",
    "\n",
    "We can also obtain the top tasks for each factor (sorted by their loadings):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "billion-antibody",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Methionine degradation        0.155069\n",
      "Arachidonate synthesis        0.141260\n",
      "Glutamine degradation         0.136161\n",
      "Synthesis of palmitoyl-CoA    0.134918\n",
      "Synthesis of malonyl-coa      0.132144\n",
      "Name: Factor 1, dtype: float64\n",
      "\n",
      "Link between glyoxylate metabolism and pentose phosphate pathway (Xylulose to glycolate)    0.185962\n",
      "Synthesis of globoside (link with globoside metabolism)                                     0.153227\n",
      "Synthesis of galactosyl glucosyl ceramide (link with ganglioside metabolism)                0.153225\n",
      "Synthesis of glucocerebroside                                                               0.140957\n",
      "Phosphatidyl-inositol synthesis                                                             0.136437\n",
      "Name: Factor 2, dtype: float64\n",
      "\n",
      "Conversion of glutamate to glutamine    0.230501\n",
      "Phosphatidyl-serine synthesis           0.159930\n",
      "Phosphatidyl-ethanolamine synthesis     0.159077\n",
      "Phosphatidyl-choline synthesis          0.158241\n",
      "Sphingomyelin synthesis                 0.150424\n",
      "Name: Factor 3, dtype: float64\n",
      "\n",
      "Glutamine synthesis                    0.151190\n",
      "Asparagine synthesis                   0.148869\n",
      "Palmitate synthesis                    0.139537\n",
      "Hydroxymethylglutaryl-CoA synthesis    0.130992\n",
      "Threonine degradation                  0.130597\n",
      "Name: Factor 4, dtype: float64\n",
      "\n",
      "Phosphatidyl-serine synthesis          0.155484\n",
      "Phosphatidyl-ethanolamine synthesis    0.154186\n",
      "Phosphatidyl-choline synthesis         0.152877\n",
      "Sphingomyelin synthesis                0.151348\n",
      "Ceramide synthesis                     0.148104\n",
      "Name: Factor 5, dtype: float64\n",
      "\n",
      "Synthesis of galactosyl glucosyl ceramide (link with ganglioside metabolism)    0.149196\n",
      "Triacylglycerol synthesis                                                       0.145805\n",
      "Synthesis of glucocerebroside                                                   0.145125\n",
      "Synthesis of globoside (link with globoside metabolism)                         0.142846\n",
      "Phosphatidyl-choline synthesis                                                  0.141422\n",
      "Name: Factor 6, dtype: float64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in range(1, tensor.rank+1):\n",
    "    print(tensor.get_top_factor_elements('Metabolic Tasks', factor_name=f'Factor {i}', top_number=5))\n",
    "    print('')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "affiliated-county",
   "metadata": {},
   "source": [
    "### Heatmaps\n",
    "\n",
    "Then, we can select metabolic tasks with the higher loadings by setting thresholds:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "unexpected-warning",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = tensor.factors['Metabolic Tasks']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "wireless-danish",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.hist(df.values.flatten(), bins = 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "chemical-drunk",
   "metadata": {},
   "outputs": [],
   "source": [
    "loading_threshold = 0.125"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "antique-thanksgiving",
   "metadata": {},
   "source": [
    "With these thresholds, we can plot the high-loading metabolic tasks across factors. In addition we can visualize the key cells types to have an idea of what are the patterns capturing.\n",
    "\n",
    "In this case, we use [Marsilea](https://marsilea.readthedocs.io/) for the visualizations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "previous-progressive",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1482.97x970.653 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize = 12\n",
    "\n",
    "## CELL TYPES HEATMAP\n",
    "# Data\n",
    "df_plot = tensor.factors['Cell Types'].T\n",
    "data = df_plot.values\n",
    "vlimit = np.max(np.abs(data))\n",
    "\n",
    "h1 = ma.Heatmap(data, linewidth=1, vmin=0, vmax=vlimit, height=2, width=2, cmap='YlOrBr',\n",
    "               cbar_kws={'title' : 'Cell Loadings', 'orientation' : 'horizontal'}, \n",
    "              )\n",
    "h1.add_left(mp.Labels(list(df_plot.index), fontsize=fontsize), pad=.05)\n",
    "h1.add_bottom(mp.Labels(list(df_plot.columns), fontsize=fontsize, rotation=90), pad=.1)\n",
    "h1.add_top(mp.Chunk([''], ['#24668C'], fontsize=fontsize-2, rotation=0, ha='center'), pad=0.05, name='Groups', legend=True)\n",
    "h1.add_dendrogram(\"top\", method='ward', metric='euclidean', colors=['#24668C'])\n",
    "h1.add_title('Cell Types')\n",
    "\n",
    "## METABOLIC TASKS HEATMAP\n",
    "# Data\n",
    "df_plot = df[(df.T > loading_threshold).any()].T\n",
    "data = df_plot.values\n",
    "vlimit = np.max(np.abs(data))\n",
    "\n",
    "# Task grouping\n",
    "task_categories = [task_mapper[t] for t in df_plot.columns]\n",
    "task_cats = sorted(set(task_categories))\n",
    "palette = glasbey.extend_palette('Dark2', palette_size=max(len(task_cats), 10))\n",
    "\n",
    "h2 = ma.Heatmap(data, linewidth=1, vmin=0, vmax=vlimit, height=2, width=10, cmap='YlOrBr',\n",
    "               cbar_kws={'title' : 'Task Loadings', 'orientation' : 'horizontal'}, \n",
    "              )\n",
    "h2.group_cols(task_categories, order=task_cats)\n",
    "#h2.add_left(mp.Labels(list(df_plot.index), fontsize=fontsize), pad=.05)\n",
    "h2.add_top(mp.Chunk(len(task_cats)*[''], palette, fontsize=fontsize-2, rotation=0,\n",
    "                    label='Metabolic Task Groups'), pad=0.01, name='Groups', legend=True)\n",
    "h2.add_dendrogram(\"top\", method='ward', metric='euclidean', colors=palette)\n",
    "h2.add_bottom(mp.Labels(list(df_plot.columns), fontsize=fontsize, rotation=90), pad=.1)\n",
    "h2.add_title('Metabolic Tasks')\n",
    "h = (h1 + 0.2 + h2)\n",
    "h.add_legends(stack_size=3, stack_by='col')\n",
    "h.render()\n",
    "h.save('Heatmap-Factors-MetabolicTasks.pdf', dpi=300)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (single_cell)",
   "language": "python",
   "name": "single_cell"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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