DMS_avg_sim_profile.ipynb

{
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   "source": [
    "import phippery\n",
    "from phippery.utils import *\n",
    "\n",
    "import xarray as xr\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'retina'\n",
    "\n",
    "import os\n",
    "import copy\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import ot\n",
    "\n",
    "from Bio.Align import substitution_matrices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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       "Dimensions:                      (peptide_id: 24840, peptide_metadata: 6, sample_id: 78, sample_metadata: 31)\n",
       "Coordinates:\n",
       "  * peptide_id                   (peptide_id) int64 0 1 2 ... 24837 24838 24839\n",
       "  * sample_id                    (sample_id) int64 1260 1262 1264 ... 1468 1420\n",
       "  * sample_metadata              (sample_metadata) object &#x27;Cohort&#x27; ... &#x27;visit...\n",
       "  * peptide_metadata             (peptide_metadata) object &#x27;Oligo&#x27; ... &#x27;is_wt&#x27;\n",
       "Data variables:\n",
       "    counts                       (peptide_id, sample_id) int64 0 0 ... 261 1270\n",
       "    sample_table                 (sample_id, sample_metadata) object -1.0 ......\n",
       "    peptide_table                (peptide_id, peptide_metadata) object &#x27;aggaa...\n",
       "    cpm                          (peptide_id, sample_id) float64 0.0 ... 1.35...\n",
       "    size_factors                 (peptide_id, sample_id) float64 0.0 ... 1.04...\n",
       "    enrichment                   (peptide_id, sample_id) float64 0.1664 ... 8...\n",
       "    neg_binom_mlxp               (peptide_id, sample_id) float64 0.0 ... 3.37\n",
       "    smooth_flank_1_enr_diff_sel  (peptide_id, sample_id) float64 -0.1379 ... ...\n",
       "Attributes:\n",
       "    collapsed_variable:  None</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-211e9de4-40b8-4f23-848f-2c30d28904ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-211e9de4-40b8-4f23-848f-2c30d28904ab' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>peptide_id</span>: 24840</li><li><span class='xr-has-index'>peptide_metadata</span>: 6</li><li><span class='xr-has-index'>sample_id</span>: 78</li><li><span class='xr-has-index'>sample_metadata</span>: 31</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-85df4376-54bc-4c0d-99e5-35f554162816' class='xr-section-summary-in' type='checkbox'  checked><label for='section-85df4376-54bc-4c0d-99e5-35f554162816' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>peptide_id</span></div><div class='xr-var-dims'>(peptide_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 ... 24836 24837 24838 24839</div><input id='attrs-6c8a2d73-1b14-4dad-ba0c-5d808682deb5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6c8a2d73-1b14-4dad-ba0c-5d808682deb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc448138-96bc-4f20-b83b-f6d9e2d58067' class='xr-var-data-in' type='checkbox'><label for='data-bc448138-96bc-4f20-b83b-f6d9e2d58067' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([    0,     1,     2, ..., 24837, 24838, 24839])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sample_id</span></div><div class='xr-var-dims'>(sample_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1260 1262 1264 ... 1467 1468 1420</div><input id='attrs-4503602c-4ded-4923-909b-70959e53cf6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4503602c-4ded-4923-909b-70959e53cf6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e192701-8052-40e0-83ea-d8fe088827df' class='xr-var-data-in' type='checkbox'><label for='data-7e192701-8052-40e0-83ea-d8fe088827df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1260, 1262, 1264, 1266, 1268, 1270, 1272, 1274, 1276, 1278, 1280, 1282,\n",
       "       1284, 1286, 1288, 1290, 1292, 1294, 1298, 1300, 1304, 1357, 1387, 1389,\n",
       "       1391, 1393, 1367, 1397, 1399, 1401, 1403, 1405, 1379, 1461, 1421, 1422,\n",
       "       1423, 1424, 1474, 1426, 1476, 1477, 1478, 1413, 1430, 1431, 1432, 1482,\n",
       "       1483, 1435, 1436, 1437, 1438, 1463, 1439, 1440, 1441, 1491, 1492, 1444,\n",
       "       1445, 1446, 1447, 1464, 1448, 1449, 1450, 1451, 1452, 1453, 1454, 1455,\n",
       "       1505, 1416, 1466, 1467, 1468, 1420])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sample_metadata</span></div><div class='xr-var-dims'>(sample_metadata)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Cohort&#x27; ... &#x27;visit_number&#x27;</div><input id='attrs-61ddf6d0-e308-413f-8f18-be33e38daf2b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61ddf6d0-e308-413f-8f18-be33e38daf2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9a72c48-016d-4252-a351-7ff67e98bff6' class='xr-var-data-in' type='checkbox'><label for='data-d9a72c48-016d-4252-a351-7ff67e98bff6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Cohort&#x27;, &#x27;Vaccine&#x27;, &#x27;age&#x27;, &#x27;age_range&#x27;, &#x27;average quality:&#x27;,\n",
       "       &#x27;control_status&#x27;, &#x27;days_post_infection&#x27;, &#x27;days_post_vaccination&#x27;,\n",
       "       &#x27;dose&#x27;, &#x27;error rate:&#x27;, &#x27;experiment&#x27;, &#x27;fastq_filename&#x27;, &#x27;library_batch&#x27;,\n",
       "       &#x27;manuscript_cohort&#x27;, &#x27;participant_ID&#x27;, &#x27;patient_status_infection&#x27;,\n",
       "       &#x27;patient_status_vaccination&#x27;, &#x27;race&#x27;, &#x27;raw total sequences:&#x27;,\n",
       "       &#x27;reads mapped:&#x27;, &#x27;reference&#x27;, &#x27;sample_ID&#x27;, &#x27;sample_group&#x27;,\n",
       "       &#x27;sample_type&#x27;, &#x27;seq_dir&#x27;, &#x27;sex&#x27;, &#x27;source&#x27;, &#x27;species&#x27;, &#x27;submitted_by&#x27;,\n",
       "       &#x27;technical_replicate_id&#x27;, &#x27;visit_number&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>peptide_metadata</span></div><div class='xr-var-dims'>(peptide_metadata)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;Oligo&#x27; &#x27;Virus&#x27; ... &#x27;is_wt&#x27;</div><input id='attrs-21a535a9-7350-4d5b-b288-1db1a65939c6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21a535a9-7350-4d5b-b288-1db1a65939c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47e99996-52b2-440e-80f2-0868965253fa' class='xr-var-data-in' type='checkbox'><label for='data-47e99996-52b2-440e-80f2-0868965253fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;Oligo&#x27;, &#x27;Virus&#x27;, &#x27;Protein&#x27;, &#x27;Loc&#x27;, &#x27;aa_sub&#x27;, &#x27;is_wt&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3b125e24-5784-4011-b716-bc54b7576dcb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b125e24-5784-4011-b716-bc54b7576dcb' class='xr-section-summary' >Data variables: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>counts</span></div><div class='xr-var-dims'>(peptide_id, sample_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 12 0 0 0 ... 7 68 71 261 1270</div><input id='attrs-1760b270-7518-41a0-8077-8985194464ab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1760b270-7518-41a0-8077-8985194464ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51048130-d747-482b-a59d-684d75ca25bc' class='xr-var-data-in' type='checkbox'><label for='data-51048130-d747-482b-a59d-684d75ca25bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[   0,    0,   12, ...,    1,    0,    7],\n",
       "       [   0,    0,    3, ...,    0,    0,    1],\n",
       "       [   0,    0,    0, ...,    1,    0,    2],\n",
       "       ...,\n",
       "       [ 108,   46,   23, ...,  298,   81, 1296],\n",
       "       [ 245,   13,   29, ...,  278,   46,  837],\n",
       "       [ 154,   62,   25, ...,   71,  261, 1270]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sample_table</span></div><div class='xr-var-dims'>(sample_id, sample_metadata)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>-1.0 &#x27;none&#x27; &#x27;71&#x27; ... 954 nan</div><input id='attrs-07439cb7-1113-45a5-a244-665ff8af3a8d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-07439cb7-1113-45a5-a244-665ff8af3a8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f43a0f8-5005-43aa-a77f-0d55d49a62c7' class='xr-var-data-in' type='checkbox'><label for='data-0f43a0f8-5005-43aa-a77f-0d55d49a62c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-1.0, &#x27;none&#x27;, &#x27;71&#x27;, ..., &#x27;meghan&#x27;, 890, &#x27;Pre-vaccine draw&#x27;],\n",
       "       [-1.0, &#x27;none&#x27;, &#x27;45&#x27;, ..., &#x27;meghan&#x27;, 892, &#x27;Pre-vaccine draw&#x27;],\n",
       "       [-1.0, &#x27;none&#x27;, &#x27;51&#x27;, ..., &#x27;meghan&#x27;, 894, &#x27;Pre-vaccine draw&#x27;],\n",
       "       ...,\n",
       "       [nan, nan, nan, ..., &#x27;caitlin&#x27;, 1001, nan],\n",
       "       [nan, nan, nan, ..., &#x27;caitlin&#x27;, 1002, nan],\n",
       "       [nan, nan, nan, ..., &#x27;caitlin&#x27;, 954, nan]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>peptide_table</span></div><div class='xr-var-dims'>(peptide_id, peptide_metadata)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;aggaattctacgctgagtGGAGGAGGTGGTT...</div><input id='attrs-0fbdb256-ea4a-459e-a2ed-3943b4a21114' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0fbdb256-ea4a-459e-a2ed-3943b4a21114' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a837d35e-3c4f-4c0c-97ea-002a3c223a7b' class='xr-var-data-in' type='checkbox'><label for='data-a837d35e-3c4f-4c0c-97ea-002a3c223a7b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[&#x27;aggaattctacgctgagtGGAGGAGGTGGTTCTGGTGGTGGAGGTTCAGGTGGTGGTGGAAGTGGTTTTGTGTTTCTGGTGCTGCTGCCGCTGGTGAGCAGCCAGTGCGTGtgatagcaagcttgcc&#x27;,\n",
       "        &#x27;SARSCoV2&#x27;, &#x27;S1&#x27;, 1, &#x27;G&#x27;, False],\n",
       "       [&#x27;aggaattctacgctgagtGGAGGAGGTGGTTCTGGTGGTGGAGGTTCAGGTGGTGGTGGAAGTGAATTTGTGTTTCTGGTGCTGCTGCCGCTGGTGAGCAGCCAGTGCGTGtgatagcaagcttgcc&#x27;,\n",
       "        &#x27;SARSCoV2&#x27;, &#x27;S1&#x27;, 1, &#x27;E&#x27;, False],\n",
       "       [&#x27;aggaattctacgctgagtGGAGGAGGTGGTTCTGGTGGTGGAGGTTCAGGTGGTGGTGGAAGTGACTTTGTGTTTCTGGTGCTGCTGCCGCTGGTGAGCAGCCAGTGCGTGtgatagcaagcttgcc&#x27;,\n",
       "        &#x27;SARSCoV2&#x27;, &#x27;S1&#x27;, 1, &#x27;D&#x27;, False],\n",
       "       ...,\n",
       "       [&#x27;aggaattctacgctgagtAGCCTGATTGATCTGCAGGAACTGGGCAAGTATGAGCAGTACATCCAGGGAGGAGGTGGTTCTGGTGGTGGAGGTTCAGGTGGTGGTGGAAGTtgatagcaagcttgcc&#x27;,\n",
       "        &#x27;SARSCoV2&#x27;, &#x27;S2&#x27;, 1211, &#x27;Q&#x27;, False],\n",
       "       [&#x27;aggaattctacgctgagtAGCCTGATTGATCTGCAGGAACTGGGCAAGTATGAGCAGTACATCCACGGAGGAGGTGGTTCTGGTGGTGGAGGTTCAGGTGGTGGTGGAAGTtgatagcaagcttgcc&#x27;,\n",
       "        &#x27;SARSCoV2&#x27;, &#x27;S2&#x27;, 1211, &#x27;H&#x27;, False],\n",
       "       [&#x27;aggaattctacgctgagtAGCCTGATTGATCTGCAGGAACTGGGCAAGTATGAGCAGTACATCCCGGGAGGAGGTGGTTCTGGTGGTGGAGGTTCAGGTGGTGGTGGAAGTtgatagcaagcttgcc&#x27;,\n",
       "        &#x27;SARSCoV2&#x27;, &#x27;S2&#x27;, 1211, &#x27;P&#x27;, False]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cpm</span></div><div class='xr-var-dims'>(peptide_id, sample_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 31.16 ... 233.9 1.351e+03</div><input id='attrs-f7e1af97-4187-4089-8f31-9bb3fa896eae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7e1af97-4187-4089-8f31-9bb3fa896eae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d72513f-d901-4630-93bb-7fe03ccf8889' class='xr-var-data-in' type='checkbox'><label for='data-4d72513f-d901-4630-93bb-7fe03ccf8889' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00000e+00, 0.00000e+00, 3.11600e+01, ..., 9.60000e-01,\n",
       "        0.00000e+00, 7.45000e+00],\n",
       "       [0.00000e+00, 0.00000e+00, 7.79000e+00, ..., 0.00000e+00,\n",
       "        0.00000e+00, 1.06000e+00],\n",
       "       [0.00000e+00, 0.00000e+00, 0.00000e+00, ..., 9.60000e-01,\n",
       "        0.00000e+00, 2.13000e+00],\n",
       "       ...,\n",
       "       [3.20160e+02, 9.29100e+01, 5.97300e+01, ..., 2.86690e+02,\n",
       "        7.25900e+01, 1.37891e+03],\n",
       "       [7.26290e+02, 2.62600e+01, 7.53100e+01, ..., 2.67450e+02,\n",
       "        4.12200e+01, 8.90550e+02],\n",
       "       [4.56530e+02, 1.25230e+02, 6.49200e+01, ..., 6.83100e+01,\n",
       "        2.33890e+02, 1.35125e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>size_factors</span></div><div class='xr-var-dims'>(peptide_id, sample_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 17.98 ... 125.1 1.048e+03</div><input id='attrs-f7269c0f-58af-4312-821c-c025daf8e0ea' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7269c0f-58af-4312-821c-c025daf8e0ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbf22a1a-62ba-4830-b9f6-6f713ce6856b' class='xr-var-data-in' type='checkbox'><label for='data-bbf22a1a-62ba-4830-b9f6-6f713ce6856b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00000e+00, 0.00000e+00, 1.79800e+01, ..., 5.90000e-01,\n",
       "        0.00000e+00, 5.78000e+00],\n",
       "       [0.00000e+00, 0.00000e+00, 4.49000e+00, ..., 0.00000e+00,\n",
       "        0.00000e+00, 8.30000e-01],\n",
       "       [0.00000e+00, 0.00000e+00, 0.00000e+00, ..., 5.90000e-01,\n",
       "        0.00000e+00, 1.65000e+00],\n",
       "       ...,\n",
       "       [2.72340e+02, 6.36900e+01, 3.44500e+01, ..., 1.75360e+02,\n",
       "        3.88300e+01, 1.06932e+03],\n",
       "       [6.17800e+02, 1.80000e+01, 4.34400e+01, ..., 1.63590e+02,\n",
       "        2.20500e+01, 6.90600e+02],\n",
       "       [3.88330e+02, 8.58400e+01, 3.74500e+01, ..., 4.17800e+01,\n",
       "        1.25110e+02, 1.04786e+03]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>enrichment</span></div><div class='xr-var-dims'>(peptide_id, sample_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1664 0.1664 5.352 ... 1.39 8.004</div><input id='attrs-9ef39dbc-838c-4241-acf0-b57b1c54bdfb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9ef39dbc-838c-4241-acf0-b57b1c54bdfb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adad8b0c-b0b8-4ee4-bdcb-88f94e2de9a6' class='xr-var-data-in' type='checkbox'><label for='data-adad8b0c-b0b8-4ee4-bdcb-88f94e2de9a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.16643387, 0.16643195, 5.35245436, ..., 0.32620836, 0.16643195,\n",
       "        1.40635519],\n",
       "       [0.16948242, 0.16948048, 1.48973414, ..., 0.16948137, 0.16948048,\n",
       "        0.34913106],\n",
       "       [0.08795186, 0.08795075, 0.0879508 , ..., 0.17238446, 0.08795075,\n",
       "        0.27528695],\n",
       "       ...,\n",
       "       [2.0783253 , 0.60770219, 0.39299738, ..., 1.86171682, 0.47621498,\n",
       "        8.92973931],\n",
       "       [7.34791997, 0.27540368, 0.7709613 , ..., 2.71217059, 0.42654735,\n",
       "        9.00737958],\n",
       "       [2.70817199, 0.74714709, 0.39018284, ..., 0.41025071, 1.39031544,\n",
       "        8.0040464 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>neg_binom_mlxp</span></div><div class='xr-var-dims'>(peptide_id, sample_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 2.398 ... 0.2683 0.593 3.37</div><input id='attrs-2bcc7019-6a08-4c7d-9f53-0dc4562530d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bcc7019-6a08-4c7d-9f53-0dc4562530d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2155f746-c280-4ae5-8cde-3ffff65edf4a' class='xr-var-data-in' type='checkbox'><label for='data-2155f746-c280-4ae5-8cde-3ffff65edf4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.        , 0.        , 2.39750987, ..., 0.53731528, 0.        ,\n",
       "        1.26535013],\n",
       "       [0.        , 0.        , 1.26306387, ..., 0.        , 0.        ,\n",
       "        0.59475867],\n",
       "       [0.        , 0.        , 0.        , ..., 0.55735328, 0.        ,\n",
       "        0.69301118],\n",
       "       ...,\n",
       "       [1.39711133, 0.4329453 , 0.27456857, ..., 0.96781057, 0.29758186,\n",
       "        4.69202037],\n",
       "       [4.74085499, 0.33186303, 0.58326927, ..., 1.55080273, 0.37601655,\n",
       "        5.23711263],\n",
       "       [1.4411816 , 0.44684514, 0.25034052, ..., 0.26831438, 0.59296456,\n",
       "        3.36971612]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>smooth_flank_1_enr_diff_sel</span></div><div class='xr-var-dims'>(peptide_id, sample_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.1379 -1.767 ... 0.1428 -0.9426</div><input id='attrs-5ddccc6b-5975-4423-8c54-03b8ee31e7fd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5ddccc6b-5975-4423-8c54-03b8ee31e7fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beeb6463-99fb-44e9-86c3-3f944a0a4d3b' class='xr-var-data-in' type='checkbox'><label for='data-beeb6463-99fb-44e9-86c3-3f944a0a4d3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[-0.13793367, -1.7674727 ,  1.36912451, ..., -0.08944319,\n",
       "         0.05735941,  0.42237725],\n",
       "       [-0.13326656, -1.75038546,  0.20356298, ..., -0.973655  ,\n",
       "         0.06261911, -2.41178925],\n",
       "       [-0.30192996, -2.36789634, -2.37513427, ..., -0.95072005,\n",
       "        -0.1274598 , -2.89516548],\n",
       "       ...,\n",
       "       [-0.41974466, -0.50494499, -0.04453776, ..., -0.44418793,\n",
       "        -1.50705666,  0.36445611],\n",
       "       [ 3.19073492, -1.43337987,  0.36197517, ...,  0.47534304,\n",
       "        -1.67666621,  0.4678448 ],\n",
       "       [ 0.33706064, -0.26261237, -0.04887386, ..., -4.14060505,\n",
       "         0.14277587, -0.94256329]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e2d47e90-4600-48fb-b31c-b3f648f58efe' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e2d47e90-4600-48fb-b31c-b3f648f58efe' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>collapsed_variable :</span></dt><dd>None</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                      (peptide_id: 24840, peptide_metadata: 6, sample_id: 78, sample_metadata: 31)\n",
       "Coordinates:\n",
       "  * peptide_id                   (peptide_id) int64 0 1 2 ... 24837 24838 24839\n",
       "  * sample_id                    (sample_id) int64 1260 1262 1264 ... 1468 1420\n",
       "  * sample_metadata              (sample_metadata) object 'Cohort' ... 'visit...\n",
       "  * peptide_metadata             (peptide_metadata) object 'Oligo' ... 'is_wt'\n",
       "Data variables:\n",
       "    counts                       (peptide_id, sample_id) int64 0 0 ... 261 1270\n",
       "    sample_table                 (sample_id, sample_metadata) object -1.0 ......\n",
       "    peptide_table                (peptide_id, peptide_metadata) object 'aggaa...\n",
       "    cpm                          (peptide_id, sample_id) float64 0.0 ... 1.35...\n",
       "    size_factors                 (peptide_id, sample_id) float64 0.0 ... 1.04...\n",
       "    enrichment                   (peptide_id, sample_id) float64 0.1664 ... 8...\n",
       "    neg_binom_mlxp               (peptide_id, sample_id) float64 0.0 ... 3.37\n",
       "    smooth_flank_1_enr_diff_sel  (peptide_id, sample_id) float64 -0.1379 ... ...\n",
       "Attributes:\n",
       "    collapsed_variable:  None"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "phip_file   = 'LK_DMS_1rep_layered.phip'     # input file\n",
    "metric      = \"smooth_flank_1_enr_diff_sel\"  # scaled differential selection name\n",
    "matrix_name = \"BLOSUM62\"                     # substitution matrix for amino acid similarity\n",
    "\n",
    "# epitope region position boundaries\n",
    "epitope_limits = {\n",
    "    \"FP\"  : [ 805,  835],\n",
    "    \"SHH\" : [1135, 1170]\n",
    "}\n",
    "epitope_names = {\n",
    "    \"FP\"  : \"FP\",\n",
    "    \"SHH\" : \"SH-H\"\n",
    "}\n",
    "\n",
    "# Okabe-Ito colors\n",
    "oi_black         = '#000000'\n",
    "oi_orange        = '#E69F00'\n",
    "oi_skyblue       = '#56B4E9'\n",
    "oi_bluishgreen   = '#009E73'\n",
    "oi_yellow        = '#F0E442'\n",
    "oi_blue          = '#0072B2'\n",
    "oi_vermillion    = '#D55E00'\n",
    "oi_reddishpurple = '#CC79A7'\n",
    "\n",
    "# output directory\n",
    "outdir = \"results\"\n",
    "if not os.path.exists(outdir): os.mkdir(outdir)\n",
    "    \n",
    "ds = phippery.load(phip_file)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sample IDs for LK individuals\n",
    "lk_infant_sams = sample_id_coordinate_subset(ds,where='sample_group',is_equal_to='LK African Infant').tolist()\n",
    "lk_mother_sams = sample_id_coordinate_subset(ds,where='sample_group',is_equal_to='LK African Mother').tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set up cost matrix\n",
    "alphabet_list = list('ARNDCQEGHILKMFPSTWYV')\n",
    "Naa = len(alphabet_list)\n",
    "substitution_matrix = substitution_matrices.load(matrix_name)\n",
    "\n",
    "nthroot=7.\n",
    "maxMij = np.exp(np.max(-substitution_matrix)/nthroot)\n",
    "cost_matrix=[]\n",
    "for aa in alphabet_list:\n",
    "    row = [-x/nthroot for x in substitution_matrix[aa,:][:Naa]]\n",
    "    cost_row = (np.exp(row)).tolist() + [maxMij for i in range(Naa)]\n",
    "    cost_matrix.append(cost_row)\n",
    "\n",
    "for aa in alphabet_list:\n",
    "    row = [-x/nthroot for x in substitution_matrix[aa,:][:Naa]]\n",
    "    cost_row = [maxMij for i in range(Naa)] + (np.exp(row)).tolist()\n",
    "    cost_matrix.append(cost_row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieve \"histogram\" representation of escape profile at a site\n",
    "# - first 20 bins are magnitude of escape (scaled differential selection < 0) for each amino acid\n",
    "# - last 20 bins are positive scaled differential selection for each amino acid\n",
    "def get_loc_escape_data(\n",
    "    ds,\n",
    "    sid,\n",
    "    loc\n",
    "):\n",
    "    my_ds = ds.loc[\n",
    "                dict(\n",
    "                    peptide_id=peptide_id_coordinate_subset(ds,where='Loc',is_equal_to=loc),\n",
    "                    sample_id=sid\n",
    "                )\n",
    "            ]\n",
    "    \n",
    "    diff_sel = my_ds[metric].to_pandas().to_numpy().flatten()\n",
    "    \n",
    "    my_df = my_ds.peptide_table.loc[:,['aa_sub']].to_pandas()\n",
    "    my_df['diff_sel'] = diff_sel\n",
    "    \n",
    "    esc_data_neg=[]\n",
    "    esc_data_pos=[]\n",
    "    for aa in alphabet_list:\n",
    "        val = my_df[my_df['aa_sub']==aa]['diff_sel'].item()\n",
    "        if val>0:\n",
    "            esc_data_neg.append(0)\n",
    "            esc_data_pos.append(val)\n",
    "        else:\n",
    "            esc_data_neg.append(-val)\n",
    "            esc_data_pos.append(0)\n",
    "    \n",
    "    esc_data = esc_data_neg + esc_data_pos\n",
    "    \n",
    "    return esc_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot per site similarity averaged over cohort members\n",
    "def plot_avg_sim(\n",
    "    region_groups_sim,\n",
    "    groups_colors,\n",
    "    groups_markers,\n",
    "    groups_labels,\n",
    "    region,\n",
    "    ymin_sim=None, ymax_sim=None,\n",
    "    legncol=2,\n",
    "    draw=True,\n",
    "    out=None\n",
    "):\n",
    "    linew = 2\n",
    "    Ngroups = len(region_groups_sim)\n",
    "    \n",
    "    loc_start = epitope_limits[region][0]\n",
    "    loc_end   = epitope_limits[region][1]\n",
    "    title     = f'{epitope_names[region]}: [{epitope_limits[region][0]}, {epitope_limits[region][1]}]'\n",
    "    \n",
    "    xticks=[]\n",
    "    xlabels=[]\n",
    "    for i in range(loc_end - loc_start + 1):\n",
    "        label = loc_start+i\n",
    "        if label%5 == 0:\n",
    "            xticks.append(i+1)\n",
    "            xlabels.append(label)\n",
    "    \n",
    "    # compute average of within group similarity scores for each group\n",
    "    avg_data=[]\n",
    "    for i in range(Ngroups):\n",
    "        avg_data.append([np.mean(x) for x in region_groups_sim[i]])\n",
    "            \n",
    "    fig = plt.figure(figsize=[15,6])\n",
    "    fig.patch.set_facecolor('white')\n",
    "    plt.title(title, fontsize=22)\n",
    "        \n",
    "    #\n",
    "    # plot average similarity scores\n",
    "    #\n",
    "    for i in range(Ngroups):\n",
    "        plt.plot(range(1,loc_end-loc_start+2), avg_data[i],\n",
    "                 color=groups_colors[i], marker=groups_markers[i], markersize=12, label=groups_labels[i])\n",
    "    plt.xlabel('Amino Acid Position', fontsize=24, labelpad=10)\n",
    "    plt.ylabel('Average Similarity', fontsize=24, labelpad=10)\n",
    "    if ymin_sim is not None:\n",
    "        plt.ylim(ymin=ymin_sim)\n",
    "    if ymax_sim is not None:\n",
    "        plt.ylim(ymax=ymax_sim)\n",
    "    plt.legend(fontsize=20, ncol=legncol)\n",
    "    plt.xticks(ticks=xticks, labels=xlabels, fontsize=20)\n",
    "    plt.yticks(fontsize=20)\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    \n",
    "    if out:\n",
    "        plt.savefig(out)\n",
    "        \n",
    "    if draw:\n",
    "        plt.show()\n",
    "    else:\n",
    "        plt.close(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 426,
       "width": 1072
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 426,
       "width": 1072
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_list = ['SHH','FP']\n",
    "group_list  = [lk_infant_sams, lk_mother_sams]\n",
    "key_list    = ['infants', 'mothers']\n",
    "label_list  = ['LK Infants', 'LK Mothers']\n",
    "\n",
    "sim_df = pd.DataFrame(columns=['person','region','position','avg_sim'])\n",
    "\n",
    "for region in region_list:\n",
    "    region_groups_sim={}  # per-cohort, per-site, per-individual similarity scores for this epitope region\n",
    "    \n",
    "    for group, key, label in zip(group_list, key_list, label_list):\n",
    "\n",
    "        region_sim=[]  # per-site, per-individual similarity scores for this cohort\n",
    "\n",
    "        for loc in range(epitope_limits[region][0], epitope_limits[region][1]+1):    \n",
    "            loc_sim=[]  # per-individual similarity scores for this site\n",
    "\n",
    "            for sid1 in group:\n",
    "                esc_data1 = get_loc_escape_data(ds,sid1,loc)\n",
    "\n",
    "                for sid2 in group:\n",
    "                    if sid1>=sid2: continue\n",
    "                    esc_data2 = get_loc_escape_data(ds,sid2,loc)\n",
    "                    a = esc_data1/np.sum(esc_data1)\n",
    "                    b = esc_data2/np.sum(esc_data2)\n",
    "                    cost = ot.emd2(a,b,cost_matrix)\n",
    "                    loc_sim.append(1./cost)\n",
    "\n",
    "            region_sim.append(loc_sim)\n",
    "            sim_df.loc[len(sim_df)] = [key[:-1], region, loc, np.mean(loc_sim)]\n",
    "\n",
    "        region_groups_sim[key] = copy.deepcopy(region_sim)\n",
    "\n",
    "\n",
    "    # plotting\n",
    "    if region=='SHH':\n",
    "        plotting_keys    = ['infants', 'mothers']\n",
    "        plotting_labels  = ['LK Infants', 'LK Mothers']\n",
    "        plotting_colors  = ['indigo', oi_skyblue]\n",
    "        plotting_markers = ['s', '^']\n",
    "        ymin2 = 0.8\n",
    "        ymax2 = 2\n",
    "        legncol = 2\n",
    "\n",
    "    elif region=='FP':\n",
    "        plotting_keys    = ['infants', 'mothers']\n",
    "        plotting_labels  = ['LK Infants', 'LK Mothers']\n",
    "        plotting_colors  = ['indigo', oi_skyblue]\n",
    "        plotting_markers = ['s', '^']\n",
    "        ymin2 = 0.8\n",
    "        ymax2 = 2\n",
    "        legncol = 2\n",
    "\n",
    "    plotting_sim=[]\n",
    "\n",
    "    for key in plotting_keys:\n",
    "        plotting_sim.append(region_groups_sim[key])\n",
    "\n",
    "    plot_avg_sim(\n",
    "        region_groups_sim = plotting_sim,\n",
    "        groups_colors     = plotting_colors,\n",
    "        groups_markers    = plotting_markers,\n",
    "        groups_labels     = plotting_labels,\n",
    "        region            = region,\n",
    "        ymin_sim          = ymin2,\n",
    "        ymax_sim          = ymax2,\n",
    "        legncol           = 2,\n",
    "        draw              = True,\n",
    "        out               = None\n",
    "    )\n",
    "    \n",
    "sim_df.to_csv(f'{outdir}/avg_sim.csv',index=False)"
   ]
  },
  {
   "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": "3.6.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}