demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gnomix Demo\n",
    "\n",
    "This notebook takes you through the process of using the tool for local ancestry predictions both by training a model using your own reference panel and by using a pre-trained model. It then gives an example of how one might analyze the results."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Arguments\n",
    "data_path        = \"./demo/data/\"\n",
    "query_file       = data_path + \"ALL.chr22.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz\"\n",
    "genetic_map_file = data_path + \"allchrs.b37.gmap\"\n",
    "reference_file   = data_path + \"reference_1000g.vcf\"\n",
    "sample_map_file  = data_path + \"1000g.smap\"\n",
    "chm              = \"22\"\n",
    "phase            = \"False\"\n",
    "output_basename  = \"./demo/output\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training a model from scratch\n",
    "\n",
    "Here we use the command line interface to train a model using a reference file, make inference on a query file and then write the results to the file *demo.msp.txv*. \n",
    "\n",
    "All the files are stored inside the */demo/data* folder **except for the query file and the reference file**. The query file we'll use is chromosome 22 from the 1000 genomes project which can be downloaded from ftp://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/. We'll create the reference file from the query file in the next cell by subsetting the part of the query file that we know are single ancestry samples using the provided sample map (1000g.smap) with bcftools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running in command line: \n",
      "\t bcftools view -S ./demo/data/samples_1000g.tsv -o ./demo/data/reference_1000g.vcf ./demo/data/ALL.chr22.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz\n"
     ]
    }
   ],
   "source": [
    "sample_map = pd.read_csv(sample_map_file, sep=\"\\t\")\n",
    "samples = list(sample_map[\"#Sample\"])\n",
    "sample_file = data_path + \"samples_1000g.tsv\"\n",
    "np.savetxt(sample_file, samples, delimiter=\"\\t\", fmt=\"%s\")\n",
    "subset_cmd = \"bcftools view\" + \" -S \" + sample_file + \" -o \" + reference_file + \" \" + query_file\n",
    "print(\"Running in command line: \\n\\t\", subset_cmd)\n",
    "os.system(subset_cmd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have everything we need to train the model,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running in command line: \n",
      "\t python3 gnomix.py ./demo/data/ALL.chr22.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz ./demo/data/allchrs.b37.gmap ./demo/output 22 False ./demo/data/reference_1000g.vcf ./demo/data/1000g.smap > ./demo/training_log.txt\n"
     ]
    }
   ],
   "source": [
    "train_cmd = \" \".join([\"python3 gnomix.py\",\n",
    "                      query_file, genetic_map_file, output_basename, chm, phase, reference_file, sample_map_file]) + \\\n",
    "            \" > ./demo/training_log.txt\"\n",
    "print(\"Running in command line: \\n\\t\", train_cmd)\n",
    "os.system(train_cmd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using a pre-trained model\n",
    "\n",
    "Let's now see how one can download some of our already trained models and use them for inference.\n",
    "\n",
    "First we'll download the models,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Download in progress...\n",
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100   408    0   408    0     0   2550      0 --:--:-- --:--:-- --:--:--  2550\n",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n",
      "  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0\n",
      "100 1949M  100 1949M    0     0   102M      0  0:00:19  0:00:19 --:--:--  107M\n",
      "Expanding files...\n",
      "pretrained_gnomix_models/\n",
      "pretrained_gnomix_models/chr5/\n",
      "pretrained_gnomix_models/chr5/chr5.bim\n",
      "pretrained_gnomix_models/chr9/\n",
      "pretrained_gnomix_models/chr9/chr9.bim\n",
      "pretrained_gnomix_models/chr16/\n",
      "pretrained_gnomix_models/chr16/model_chm_16.pkl\n",
      "pretrained_gnomix_models/chr16/config.txt\n",
      "pretrained_gnomix_models/chr16/chr16.bim\n",
      "pretrained_gnomix_models/chr18/\n",
      "pretrained_gnomix_models/chr18/config.txt\n",
      "pretrained_gnomix_models/chr18/model_chm_18.pkl\n",
      "pretrained_gnomix_models/chr18/chr18.bim\n",
      "pretrained_gnomix_models/chr17/\n",
      "pretrained_gnomix_models/chr17/config.txt\n",
      "pretrained_gnomix_models/chr17/chr17.bim\n",
      "pretrained_gnomix_models/chr17/model_chm_17.pkl\n",
      "pretrained_gnomix_models/chr6/\n",
      "pretrained_gnomix_models/chr6/config.txt\n",
      "pretrained_gnomix_models/chr6/chr6.bim\n",
      "pretrained_gnomix_models/chr6/model_chm_6.pkl\n",
      "pretrained_gnomix_models/chr13/\n",
      "pretrained_gnomix_models/chr13/model_chm_13.pkl\n",
      "pretrained_gnomix_models/chr13/config.txt\n",
      "pretrained_gnomix_models/chr13/chr13.bim\n",
      "pretrained_gnomix_models/chr22/\n",
      "pretrained_gnomix_models/chr22/model_chm_22.pkl\n",
      "pretrained_gnomix_models/chr22/config.txt\n",
      "pretrained_gnomix_models/chr22/chr22.bim\n",
      "pretrained_gnomix_models/chr8/\n",
      "pretrained_gnomix_models/chr8/model_chm_8.pkl\n",
      "pretrained_gnomix_models/chr8/config.txt\n",
      "pretrained_gnomix_models/chr8/chr8.bim\n",
      "pretrained_gnomix_models/chr3/\n",
      "pretrained_gnomix_models/chr3/chr3.bim\n",
      "pretrained_gnomix_models/chr3/config.txt\n",
      "pretrained_gnomix_models/chr3/model_chm_3.pkl\n",
      "pretrained_gnomix_models/chr2/\n",
      "pretrained_gnomix_models/chr2/chr2.bim\n",
      "pretrained_gnomix_models/chr2/model_chm_2.pkl\n",
      "pretrained_gnomix_models/chr2/config.txt\n",
      "pretrained_gnomix_models/chr19/\n",
      "pretrained_gnomix_models/chr19/config.txt\n",
      "pretrained_gnomix_models/chr19/chr19.bim\n",
      "pretrained_gnomix_models/chr19/model_chm_19.pkl\n",
      "pretrained_gnomix_models/chr1/\n",
      "pretrained_gnomix_models/chr1/config.txt\n",
      "pretrained_gnomix_models/chr1/chr1.bim\n",
      "pretrained_gnomix_models/chr1/model_chm_1.pkl\n",
      "pretrained_gnomix_models/chr15/\n",
      "pretrained_gnomix_models/chr15/config.txt\n",
      "pretrained_gnomix_models/chr15/chr15.bim\n",
      "pretrained_gnomix_models/chr15/model_chm_15.pkl\n",
      "pretrained_gnomix_models/chr21/\n",
      "pretrained_gnomix_models/chr21/config.txt\n",
      "pretrained_gnomix_models/chr21/model_chm_21.pkl\n",
      "pretrained_gnomix_models/chr21/chr21.bim\n",
      "pretrained_gnomix_models/chr10/\n",
      "pretrained_gnomix_models/chr10/model_chm_10.pkl\n",
      "pretrained_gnomix_models/chr10/config.txt\n",
      "pretrained_gnomix_models/chr10/chr10.bim\n",
      "pretrained_gnomix_models/chr12/\n",
      "pretrained_gnomix_models/chr12/chr12.bim\n",
      "pretrained_gnomix_models/chr12/config.txt\n",
      "pretrained_gnomix_models/chr12/model_chm_12.pkl\n",
      "pretrained_gnomix_models/chr11/\n",
      "pretrained_gnomix_models/chr11/chr11.bim\n",
      "pretrained_gnomix_models/chr4/\n",
      "pretrained_gnomix_models/chr4/config.txt\n",
      "pretrained_gnomix_models/chr4/model_chm_4.pkl\n",
      "pretrained_gnomix_models/chr4/chr4.bim\n",
      "pretrained_gnomix_models/chr20/\n",
      "pretrained_gnomix_models/chr20/config.txt\n",
      "pretrained_gnomix_models/chr20/model_chm_20.pkl\n",
      "pretrained_gnomix_models/chr20/chr20.bim\n",
      "pretrained_gnomix_models/chr14/\n",
      "pretrained_gnomix_models/chr14/model_chm_14.pkl\n",
      "pretrained_gnomix_models/chr14/config.txt\n",
      "pretrained_gnomix_models/chr14/chr14.bim\n",
      "pretrained_gnomix_models/chr7/\n",
      "pretrained_gnomix_models/chr7/config.txt\n",
      "pretrained_gnomix_models/chr7/model_chm_7.pkl\n",
      "pretrained_gnomix_models/chr7/chr7.bim\n",
      "Downloaded pretrained models to directory ./pretrained_gnomix_models\n"
     ]
    }
   ],
   "source": [
    "!sh download_pretrained_models.sh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we run the inference on the same query file as before. This should take around 5 minutes depending on your processors. Biggest part of it is actually just loading the query file and second biggest is writing the inference to disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running in command line: \n",
      "\t python3 gnomix.py ./demo/data/ALL.chr22.phase3_shapeit2_mvncall_integrated_v5a.20130502.genotypes.vcf.gz ./demo/output 22 False pretrained_gnomix_models/chr22/model_chm_22.pkl > ./demo/pretrained_log.txt\n"
     ]
    }
   ],
   "source": [
    "path_to_model = \"pretrained_gnomix_models/chr{}/model_chm_{}.pkl\".format(chm, chm)\n",
    "\n",
    "# defining and executing the command\n",
    "run_cmd =  \"python3 gnomix.py\"\n",
    "cmd = \" \".join([run_cmd, query_file, output_basename, chm, phase, path_to_model]) + \\\n",
    "      \" > ./demo/pretrained_log.txt\"\n",
    "\n",
    "print(\"Running in command line: \\n\\t\", cmd)\n",
    "os.system(cmd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing results\n",
    "\n",
    "### Reading from the ouput\n",
    "\n",
    "Here we read the results from the output file into a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <td>51106555</td>\n",
       "      <td>73.83822</td>\n",
       "      <td>73.96752</td>\n",
       "      <td>3006</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>22</td>\n",
       "      <td>51106586</td>\n",
       "      <td>51244237</td>\n",
       "      <td>73.96753</td>\n",
       "      <td>74.10956</td>\n",
       "      <td>4097</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>370 rows × 5014 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     #chm      spos      epos     sgpos     egpos  n snps  HG00096.0  \\\n",
       "0      22  16854565  16928785   1.58688   1.69071   14868          0   \n",
       "1      22  16928836  17041764   1.69072   1.71361    2962          0   \n",
       "2      22  17042030  17135909   1.71375   1.84303    3041          0   \n",
       "3      22  17135918  17292156   1.84303   2.16863    2655          0   \n",
       "4      22  17292258  17374057   2.16868   2.41088    2636          0   \n",
       "..    ...       ...       ...       ...       ...     ...        ...   \n",
       "365    22  50769029  50863560  73.43761  73.50433    3051          0   \n",
       "366    22  50863902  50937462  73.50434  73.75547    3364          0   \n",
       "367    22  50937521  51012775  73.75558  73.83819    2882          0   \n",
       "368    22  51012854  51106555  73.83822  73.96752    3006          0   \n",
       "369    22  51106586  51244237  73.96753  74.10956    4097          0   \n",
       "\n",
       "     HG00096.1  HG00097.0  HG00097.1  ...  NA21137.0  NA21137.1  NA21141.0  \\\n",
       "0            0          0          0  ...          4          4          4   \n",
       "1            0          0          0  ...          4          4          4   \n",
       "2            0          0          0  ...          4          4          4   \n",
       "3            0          0          0  ...          4          4          4   \n",
       "4            0          0          0  ...          4          4          4   \n",
       "..         ...        ...        ...  ...        ...        ...        ...   \n",
       "365          0          0          0  ...          4          4          4   \n",
       "366          0          0          0  ...          4          4          4   \n",
       "367          0          0          0  ...          4          4          4   \n",
       "368          0          0          0  ...          4          4          4   \n",
       "369          0          0          0  ...          4          4          4   \n",
       "\n",
       "     NA21141.1  NA21142.0  NA21142.1  NA21143.0  NA21143.1  NA21144.0  \\\n",
       "0            4          4          4          4          4          4   \n",
       "1            4          4          4          4          4          4   \n",
       "2            4          4          4          4          4          4   \n",
       "3            4          4          4          4          4          4   \n",
       "4            4          4          4          4          4          4   \n",
       "..         ...        ...        ...        ...        ...        ...   \n",
       "365          4          4          4          4          4          4   \n",
       "366          4          4          4          4          4          4   \n",
       "367          4          4          4          4          4          4   \n",
       "368          4          4          4          4          4          4   \n",
       "369          4          4          4          4          4          4   \n",
       "\n",
       "     NA21144.1  \n",
       "0            4  \n",
       "1            4  \n",
       "2            4  \n",
       "3            4  \n",
       "4            4  \n",
       "..         ...  \n",
       "365          4  \n",
       "366          4  \n",
       "367          4  \n",
       "368          4  \n",
       "369          4  \n",
       "\n",
       "[370 rows x 5014 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read the output file into a dataframe\n",
    "output_file = output_basename+\"/query_results.msp\"\n",
    "msp_df = pd.read_csv(output_file, sep=\"\\t\", skiprows=[0])\n",
    "msp_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Measuring performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import stats\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "from src.postprocess import get_samples_from_msp_df\n",
    "from src.visualization import plot_cm, plot_chm\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_map = pd.read_csv(sample_map_file, sep=\"\\t\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we predict **single ancestry** for each individual by creatoing a dataframe containing only one label prediction for each individual. We do so simply by taking the mode of the local predictions for each individual. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>Prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HG00096</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HG00097</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HG00099</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HG00100</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HG00101</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2499</th>\n",
       "      <td>NA21137</td>\n",
       "      <td>SAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2500</th>\n",
       "      <td>NA21141</td>\n",
       "      <td>SAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2501</th>\n",
       "      <td>NA21142</td>\n",
       "      <td>SAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2502</th>\n",
       "      <td>NA21143</td>\n",
       "      <td>SAS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>NA21144</td>\n",
       "      <td>SAS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2504 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Sample Prediction\n",
       "0     HG00096        EUR\n",
       "1     HG00097        EUR\n",
       "2     HG00099        EUR\n",
       "3     HG00100        EUR\n",
       "4     HG00101        EUR\n",
       "...       ...        ...\n",
       "2499  NA21137        SAS\n",
       "2500  NA21141        SAS\n",
       "2501  NA21142        SAS\n",
       "2502  NA21143        SAS\n",
       "2503  NA21144        SAS\n",
       "\n",
       "[2504 rows x 2 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reading the sample-ids\n",
    "query_samples = get_samples_from_msp_df(msp_df)\n",
    "\n",
    "# reading predictions for each of the intervals\n",
    "pred_labels = (np.array(msp_df)[:,6:].T).astype(int)\n",
    "\n",
    "# reducing it to only 1 of maternal/paternal prediction\n",
    "single_ind_idx = np.arange(0,len(query_samples)*2,2)\n",
    "pred_labels_single_ind = pred_labels[single_ind_idx,:]\n",
    "\n",
    "# predicting single ancestry by taking mode of local predictions for each individual\n",
    "y_pred = stats.mode(pred_labels_single_ind,axis=1)[0].squeeze() \n",
    "\n",
    "# get model population order from first line of file and convert from numeric predictions\n",
    "with open(output_file, \"r\") as f:\n",
    "    pop = np.array([p.split(\"=\")[0] for p in f.readline().split()[2:]])\n",
    "pred_pop = [pop[pop_ind] for pop_ind in y_pred]\n",
    "\n",
    "# put it together in dataframe\n",
    "pred_df = pd.DataFrame({\"Sample\": query_samples, \"Prediction\": pred_pop})\n",
    "pred_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can read the true labels from the sample map file and add them to the dataframe. The true ancestry labels (not only single ancestry individuals) are stored in the meta data file *demo/data/1000g.meta*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sample</th>\n",
       "      <th>Prediction</th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>HG00096</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HG00097</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HG00099</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HG00100</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HG00101</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1215</th>\n",
       "      <td>NA20822</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>NA20826</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>NA20827</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>NA20828</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>NA20832</td>\n",
       "      <td>EUR</td>\n",
       "      <td>EUR</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1220 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Sample Prediction Population\n",
       "0     HG00096        EUR        EUR\n",
       "1     HG00097        EUR        EUR\n",
       "2     HG00099        EUR        EUR\n",
       "3     HG00100        EUR        EUR\n",
       "4     HG00101        EUR        EUR\n",
       "...       ...        ...        ...\n",
       "1215  NA20822        EUR        EUR\n",
       "1216  NA20826        EUR        EUR\n",
       "1217  NA20827        EUR        EUR\n",
       "1218  NA20828        EUR        EUR\n",
       "1219  NA20832        EUR        EUR\n",
       "\n",
       "[1220 rows x 3 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# adding the true labels\n",
    "sample_map_file = \"./demo/data/1000g.meta\" # find the true labels in the sample map file\n",
    "sample_map_df = pd.read_csv(sample_map_file, sep=\"\\t\")\n",
    "true_labels_df = sample_map_df[[\"Sample\", \"Superpopulation code\"]]\n",
    "true_labels_df.columns = [\"Sample\", \"Population\"]\n",
    "pred_df = pred_df.merge(true_labels_df)\n",
    "pred_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And then compare the predictions with the true labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy for single ancestry: 100.0%\n"
     ]
    }
   ],
   "source": [
    "# Getting the prediction accuracy\n",
    "acc = np.mean(pred_df.Population == pred_df.Prediction)\n",
    "print(\"Accuracy for single ancestry: \", acc*100, \"%\", sep=\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creating and visualizing the confusion matrix\n",
    "labs = np.unique(pred_df[['Population', 'Prediction']])\n",
    "cm = confusion_matrix(pred_df.Population, pred_df.Prediction, labels=labs)\n",
    "cm_plot = plot_cm(cm, normalize=True, labels=labs)\n",
    "cm_plot.figure.savefig('./demo/imgs/single_ancestry_confusion_matrix.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the prediction\n",
    "\n",
    "We can use the results to plot the predictions along the chromosome. Here is an example of how to use [Tagore](https://pypi.org/project/tagore/#usage) for that purpose. Here we visualize one individual and only for chromosome 22. See **plot_chm** from *src/visualization.py* for more details of how to to that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "\n",
    "sample_id = \"HG00096\" # looking at just one random sample\n",
    "img_name = \"./demo/imgs/chm_img\"\n",
    "plot_chm(sample_id, msp_df, img_name=img_name)\n",
    "Image(filename=img_name+\".png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}