Skip to main content
  • Home
  • Development
  • Documentation
  • Donate
  • Operational login
  • Browse the archive

swh logo
SoftwareHeritage
Software
Heritage
Archive
Features
  • Search

  • Downloads

  • Save code now

  • Add forge now

  • Help

Revision f6c855ef4a7ce63f72dba6b34e9d0e9edd9200ce authored by ctboughter on 01 December 2020, 17:23:16 UTC, committed by ctboughter on 01 December 2020, 17:23:16 UTC
Add Amino Acid frequency module to GUI
1 parent 73e84d3
  • Files
  • Changes
  • 490c73a
  • /
  • notebooks
  • /
  • therapeutic_analysis.ipynb
Raw File Download

To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

  • revision
  • directory
  • content
revision badge
swh:1:rev:f6c855ef4a7ce63f72dba6b34e9d0e9edd9200ce
directory badge
swh:1:dir:91fb2df09d7c0b4c4669e002c6a727d3c9ce007f
content badge
swh:1:cnt:e4775f7d1af3cfa633d16bc86824dfd7f77e2fd8

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

  • revision
  • directory
  • content
(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
(requires biblatex-software package)
Generating citation ...
therapeutic_analysis.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas\n",
    "import matplotlib.pyplot as pl\n",
    "import matplotlib as mpl\n",
    "from matplotlib import cm\n",
    "import seaborn as sns\n",
    "\n",
    "# THIS LAST BIT IS TO NAVIAGATE TO WHERE MY CUSTOM MODULES ARE LOCATED\n",
    "import os\n",
    "if os.getcwd()[-4:] != 'AIMS':\n",
    "    default_path = os.getcwd()[:-10]\n",
    "    os.chdir(default_path)\n",
    "\n",
    "import seq_loader\n",
    "import aims_analysis as aims"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# I apologize in advance that loading in the therapeutic data is messy\n",
    "Just run all of these next 4 windows if you want to recreate my analysis. Will work on cleaning this up as well, but for now, it works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# LOAD IN THE NEW THERAPEUTIC TEST DATA\n",
    "adimab_data=seq_loader.getAdimab()\n",
    "\n",
    "adi_heavy=[adimab_data['cdrH1_aa'].values,adimab_data['cdrH2_aa'].values,adimab_data['cdrH3_aa'].values]\n",
    "adi_light=[adimab_data['cdrL1_aa'].values,adimab_data['cdrL2_aa'].values,adimab_data['cdrL3_aa'].values]\n",
    "adi_seqs=np.vstack((adi_light,adi_heavy))\n",
    "\n",
    "# Now sort it into two separate groups for classification\n",
    "low_react=adimab_data[adimab_data[\"ELISA\"] < 1.2]\n",
    "\n",
    "x=adimab_data[adimab_data[\"ELISA\"] >= 1.2]\n",
    "mid_react=x[x[\"ELISA\"] < 2.0]\n",
    "\n",
    "high_react=adimab_data[adimab_data[\"ELISA\"] >= 2]\n",
    "poly_adi=np.vstack((mid_react,high_react))\n",
    "mono_adi=low_react.values\n",
    "\n",
    "# Load in AA Keys\n",
    "AA_key,AA_num_key,AA_num_key_new,props=aims.get_props()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# GET NEW SabDab Therapeutic Test Data\n",
    "adimab_supp,sabDab_data=seq_loader.getSabDab()\n",
    "\n",
    "sab_heavy=[sabDab_data['cdrH1_aa'].values,sabDab_data['cdrH2_aa'].values,sabDab_data['cdrH3_aa'].values]\n",
    "sab_light=[sabDab_data['cdrL1_aa'].values,sabDab_data['cdrL2_aa'].values,sabDab_data['cdrL3_aa'].values]\n",
    "sabDab_seqs=np.vstack((sab_light,sab_heavy))\n",
    "\n",
    "# Now sort it into two separate groups for classification\n",
    "y=sabDab_data[sabDab_data[\"Highest_Clin_Trial (Jan '20)\"] == 'Approved']\n",
    "sab_approve=y[y[\"Est. Status\"] != 'Discontinued']\n",
    "sab_discont=sabDab_data[sabDab_data[\"Est. Status\"] == 'Discontinued']\n",
    "\n",
    "x=sabDab_data[sabDab_data[\"Highest_Clin_Trial (Jan '20)\"] != 'Approved']\n",
    "phases=x[x[\"Est. Status\"] != 'Discontinued']\n",
    "\n",
    "num_accept=np.shape(sab_approve)[0]\n",
    "num_phase=np.shape(phases)[0]\n",
    "\n",
    "poly_adi=np.vstack((sab_approve,phases))\n",
    "mono_adi=sab_discont.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_adimab=pandas.concat([adimab_data,adimab_supp['Highest_Clin_Trial (Jan \\'20)'],adimab_supp['Est. Status']],axis=1)\n",
    "# Now sort it into two separate groups for classification\n",
    "y=new_adimab[new_adimab[\"Highest_Clin_Trial (Jan '20)\"] == 'Approved']\n",
    "adi_approve=y[y[\"Est. Status\"] != 'Discontinued']\n",
    "adi_discont=new_adimab[new_adimab[\"Est. Status\"] == 'Discontinued']\n",
    "\n",
    "x=new_adimab[new_adimab[\"Highest_Clin_Trial (Jan '20)\"] != 'Approved']\n",
    "adi_phases=x[x[\"Est. Status\"] != 'Discontinued']\n",
    "\n",
    "\n",
    "approve_h=np.vstack((adi_approve.values[:,1:4],sab_approve.values[:,1:4]))\n",
    "discont_h=np.vstack((adi_discont.values[:,1:4],sab_discont.values[:,1:4]))\n",
    "approve_l=np.vstack((adi_approve.values[:,5:8],sab_approve.values[:,4:7]))\n",
    "discont_l=np.vstack((adi_discont.values[:,5:8],sab_discont.values[:,4:7]))\n",
    "\n",
    "approve_all=np.transpose(np.hstack((approve_l,approve_h)))\n",
    "discont_all=np.transpose(np.hstack((discont_l,discont_h)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "font = {'family' : 'Arial',\n",
    "        'weight' : 'bold',\n",
    "        'size'   : 16}\n",
    "COLOR = 'black'\n",
    "mpl.rcParams['text.color'] = 'black'\n",
    "mpl.rcParams['axes.labelcolor'] = COLOR\n",
    "mpl.rcParams['xtick.color'] = COLOR\n",
    "mpl.rcParams['ytick.color'] = COLOR\n",
    "\n",
    "mpl.rc('font', **font)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'AA Position')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pl.subplots(1, 1,squeeze=False,figsize=(16,8))\n",
    "\n",
    "# Generate two types of matrices: \n",
    "# 1. PCA - matrices with float values correlated with hydrophobicity\n",
    "# 2. MI - matrices that use integer values 1 to 21, randomly assigned\n",
    "approve_PCA,discont_PCA=aims.gen_tcr_matrix(approve_all,pre_mono=discont_all,key=AA_num_key_new,binary=True)\n",
    "approve_MI,discont_MI=aims.gen_tcr_matrix(approve_all,pre_mono=discont_all,key=AA_num_key,binary=True)\n",
    "\n",
    "# Stack the full matrices for nice visualization\n",
    "total_dat = np.vstack((approve_MI,discont_MI))\n",
    "matrix=ax[0,0].imshow(np.transpose(total_dat[:,:]), interpolation='nearest', aspect='auto',cmap=cm.jet)\n",
    "\n",
    "ax[0,0].set_xlabel('Clone')\n",
    "ax[0,0].set_ylabel('AA Position')\n",
    "# Optionally save the figure\n",
    "#fig.savefig('fullData_Matrix.pdf',format='pdf',dpi=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a1d3302b0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pl.subplots(1, 1,squeeze=False,figsize=(12,7))\n",
    "# Note, these two sections are pretty slow as well\n",
    "p_approve,p_approve_stdev=aims.gen_dset_props(approve_MI,stdev=True)\n",
    "p_discont,p_discont_stdev=aims.gen_dset_props(discont_MI,stdev=True)\n",
    "\n",
    "# p_poly has all position-sensitive plots of the biophysical properties used in this study.\n",
    "# Property 2 is \"charge\" and then everything after that follows the order of the properties \n",
    "# in supplemental table 1. Kidera 7 is prop = 12. Hydrophobicity in Supp8B is prop=1\n",
    "prop = 2\n",
    "\n",
    "pl.plot(p_approve[prop],'b')\n",
    "pl.plot(p_discont[prop],'r')\n",
    "\n",
    "ax[0,0].set_xlabel('AA Position')\n",
    "#ax[0,0].set_ylabel('Net Hydrophobicity (AU)')\n",
    "ax[0,0].set_ylabel('Avg Charge/Clone ($e_c$)')\n",
    "pl.legend(['Approved','Discontinued'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is our separate, classification portion of analysis\n",
    "# Both LDA mode analyses live here\n",
    "import aims_classification as classy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7692307692307693\n"
     ]
    }
   ],
   "source": [
    "# Re-Run this command,since it is fast anyway\n",
    "# Really running it here for the \"MatrixSize\" variable\n",
    "x,y,MatrixSize = aims.gen_tcr_matrix(approve_all,pre_mono=discont_all,binary=True,return_Size=True)\n",
    "\n",
    "num_approve = np.shape(approve_all)[1]\n",
    "num_discont = np.shape(discont_all)[1]\n",
    "\n",
    "# Pretty slow step when dealing with large matrix (full/parsed data)\n",
    "numVects = 15\n",
    "acc_all,weights,cols,indices,mda_all,dropped = classy.do_linear_split(discont_all,approve_all,giveSize = MatrixSize, matSize = numVects)\n",
    "# Print out the accuracy\n",
    "print(acc_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Seaborn plots look nicer for these LDA figures\n",
    "fig = pl.figure(figsize = (16, 8))\n",
    "dset = [\"Therapeutic Antibodies\" for x in range(num_discont + num_approve)]\n",
    "reacts = [\"Discontinued\" for x in range(num_discont)] + [\"Approved\" for x in range(num_approve)]\n",
    "\n",
    "d1 = {'Dataset': dset, 'Linear Discriminant 1': mda_all.reshape(len(mda_all)),\n",
    "     'Reactivity' : reacts}\n",
    "df1 = pandas.DataFrame(data=d1)\n",
    "sns.set(style=\"white\", color_codes=True,font_scale=1.5)\n",
    "zz = sns.swarmplot(x=\"Dataset\", y=\"Linear Discriminant 1\", data=df1, hue = 'Reactivity', palette = \"Dark2\")\n",
    "#pl.savefig('thera_LDA.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These printed propery names should be the x-axis lables (in order):\n",
      "['Bulk', 'Kid1', 'Hot31', 'Hot40', 'Hot44', 'Kid7', 'Hot35', 'Hot12', 'Hot13', 'Kid9', 'Hot5', 'Kid3']\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A lot of code here, but the end goal is to print out both the \n",
    "# names and the locations of the top properties used to\n",
    "# generate the LD1\n",
    "fig, ax = pl.subplots(1, 1,squeeze=False,figsize=(16,8))\n",
    "# How many properties do you want to show?\n",
    "# Make sure this isn't larger than \"NumVects\"\n",
    "numTop = 15\n",
    "num_locs = int(sum(MatrixSize))\n",
    "# Get the column headings:\n",
    "col_heads = cols[indices]\n",
    "norm_weights=weights/np.linalg.norm(weights)\n",
    "# Put them into a vector\n",
    "cdr_loc = [int(i.split('-')[1]) for i in col_heads]\n",
    "prop = [i.split('-')[0] for i in col_heads]\n",
    "# Take the outputs from do_linear_split and prepare them for analysis\n",
    "a1 = np.transpose(np.vstack((cdr_loc,prop,abs(norm_weights[0]))))\n",
    "a2 = np.transpose(np.vstack((cdr_loc,prop,norm_weights[0])))\n",
    "x = a2[a1[:,2].argsort()]\n",
    "# x is sorted backwards, hence the \"-numTop\"\n",
    "prop10 = x[-numTop:,1]\n",
    "cdr10 = [int(a) for a in x[-numTop:,0]]\n",
    "diff10 = [float(a) for a in x[-numTop:,2]]\n",
    "a = 0\n",
    "for i in np.arange(len(prop10)):\n",
    "    uniq = True\n",
    "    if i == 0:\n",
    "        prop_numeric = 1\n",
    "        uniq_prop_label = [prop10[i]]\n",
    "        a = a + 1\n",
    "    else:\n",
    "        spot = 0\n",
    "        for j in uniq_prop_label:\n",
    "            if prop10[i] == j:\n",
    "                uniq =  False\n",
    "                if type(prop_numeric) == int:\n",
    "                    a_old = a\n",
    "                else:\n",
    "                    a_old = prop_numeric[spot]\n",
    "            spot = spot+1\n",
    "                \n",
    "    if uniq and i != 0:\n",
    "        prop_numeric = np.vstack((prop_numeric,1+a))\n",
    "        uniq_prop_label = np.vstack((uniq_prop_label,prop10[i]))\n",
    "        a = a+1\n",
    "    elif i != 0:\n",
    "        prop_numeric = np.vstack((prop_numeric,a_old))\n",
    "prop_num2 = [a[0] for a in prop_numeric]\n",
    "prop_label2 = [a[0] for a in uniq_prop_label]\n",
    "\n",
    "diff_mat = np.zeros((max(prop_num2),num_locs))\n",
    "for i in np.arange(numTop):\n",
    "    x_pos = prop_num2[i]-1\n",
    "    y_pos = cdr10[i]-1\n",
    "    diff_mat[x_pos,y_pos] = diff_mat[x_pos,y_pos] + diff10[i]\n",
    "\n",
    "x=ax[0,0].pcolormesh(np.transpose(diff_mat),vmin = -0.25, vmax = 0.25, cmap=cm.PiYG_r)\n",
    "pl.colorbar(x)\n",
    "print('These printed propery names should be the x-axis lables (in order):')\n",
    "print(prop_label2)\n",
    "#pl.savefig('thera_15mat.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To re-create figure 6A, we need to load in all of the naturally-derived polyreactivity data\n",
    "[mono_all,poly_all,mono,poly]=seq_loader.getBunker()\n",
    "[mono_jennaAll,poly_jennaAll,mono_jenna,poly_jenna]=seq_loader.getJenna()\n",
    "[mono_HugoAll,poly_HugoAll,mono_Hugo,poly_Hugo]=seq_loader.getHugo()\n",
    "[mono_HugNat_all,poly_HugNat_all,mono_HugNat,poly_HugNat]=seq_loader.getHugo_Nature()\n",
    "[mono_PLOS,poly_PLOS]=seq_loader.getHugo_PLOS()\n",
    "[mono_HugNat_allCNT,poly_HugNat_allCNT,mono_HugNatCNT,poly_HugNatCNT] = seq_loader.getHugo_NatCNTRL()\n",
    "\n",
    "parse_mono=np.hstack((mono,mono_jenna,mono_Hugo,mono_HugNat,mono_HugNatCNT,mono_PLOS))\n",
    "parse_poly=np.hstack((poly,poly_jenna,poly_Hugo,poly_HugNat,poly_HugNatCNT,poly_PLOS))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.763744427934621\n"
     ]
    }
   ],
   "source": [
    "# Re-Run this command,since it is fast anyway\n",
    "# Really running it here for the \"MatrixSize\" variable\n",
    "x,y,MatrixSize = aims.gen_tcr_matrix(parse_poly,pre_mono=parse_mono,binary=True,return_Size=True)\n",
    "\n",
    "num_mono = np.shape(parse_mono)[1]\n",
    "num_poly = np.shape(parse_poly)[1]\n",
    "\n",
    "# Pretty slow step when dealing with large matrix (full/parsed data)\n",
    "numVects = 75\n",
    "acc_nat,weights_nat,cols_nat,indices_nat,mda_nat,did_drop = classy.do_linear_split(parse_mono,parse_poly,ridCorr = True, giveSize = MatrixSize, matSize = numVects)\n",
    "# Print out the accuracy\n",
    "print(acc_nat)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Try to see if polyreactivity can predict therapeutic approval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So now we need to recreate the data that we classify on for the therapeutic data (with \"get_bigass_matrix\")\n",
    "# and then apply the linear weights generated in the above cell\n",
    "matsize=75\n",
    "window=1\n",
    "\n",
    "discont_Big = classy.get_bigass_matrix(discont_all,giveSize = MatrixSize)\n",
    "approve_Big = classy.get_bigass_matrix(approve_all,giveSize = MatrixSize)\n",
    "\n",
    "discont_apply=classy.apply_pretrained_LDA(discont_Big,did_drop,indices_nat,weights_nat)\n",
    "approve_apply=classy.apply_pretrained_LDA(approve_Big,did_drop,indices_nat,weights_nat)\n",
    "\n",
    "apply_classifier = np.vstack((approve_apply,discont_apply))\n",
    "mda_thera = apply_classifier\n",
    "\n",
    "approve_dim=np.shape(approve_apply)[0]\n",
    "discont_dim=np.shape(discont_apply)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a1d8edf60>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "names = [\"Naturally Derived\" for x in range(num_mono+num_poly)] + [\"Therapeutic Abs\" for x in range(approve_dim+discont_dim)]\n",
    "full_dset = np.vstack((mda_nat,mda_thera))\n",
    "reacts = [\"Non-Polyreactive\" for x in range(num_mono)] + [\"Polyreactive\" for x in range(num_poly)] + [\"Approved\" for x in range(approve_dim)] + [\"Discontinued\" for x in range(discont_dim)]\n",
    "\n",
    "fig = pl.figure(figsize = (16, 8))\n",
    "d1 = {'Dataset': names, 'Linear Discriminant 1': full_dset.reshape(len(full_dset)),\n",
    "     'Reactivity' : reacts}\n",
    "df1 = pandas.DataFrame(data=d1)\n",
    "sns.set(style=\"white\", color_codes=True,font_scale=1.5)\n",
    "# Note, I did edit colors outside of python\n",
    "zz = sns.swarmplot(x=\"Dataset\", y=\"Linear Discriminant 1\", data=df1, hue = 'Reactivity', palette = \"Dark2\")\n",
    "\n",
    "sns.despine()\n",
    "zz.legend_.remove()\n",
    "pl.legend(loc='upper right')\n",
    "#pl.savefig('LDA_hiv_thera.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OR INSTEAD TRY TO VISUALIZE CROSSOVER BTWN NATURAL AND THERA POLYREACTIVITY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So now we need to recreate the data that we classify on for the therapeutic data (with \"get_bigass_matrix\")\n",
    "# and then apply the linear weights generated in the above cell\n",
    "approve_adi_F=np.transpose(np.hstack((adi_approve.values[:,5:8],adi_approve.values[:,1:4])))\n",
    "discont_adi_F=np.transpose(np.hstack((adi_discont.values[:,5:8],adi_discont.values[:,1:4])))\n",
    "\n",
    "approve_ELISAs=adi_approve[\"ELISA\"]; approve_PSR=adi_approve[\"Poly-Specificity Reagent (PSR) SMP Score (0-1)\"]\n",
    "discont_ELISAs=adi_discont[\"ELISA\"]; discont_PSR=adi_discont[\"Poly-Specificity Reagent (PSR) SMP Score (0-1)\"]\n",
    "\n",
    "matsize=75\n",
    "window=1\n",
    "\n",
    "discont_Big = classy.get_bigass_matrix(discont_adi_F,giveSize = MatrixSize)[:,indices_nat]\n",
    "approve_Big = classy.get_bigass_matrix(approve_adi_F,giveSize = MatrixSize)[:,indices_nat]\n",
    "\n",
    "discont_apply=np.matmul(discont_Big,np.transpose(weights_nat)); discont_dim=np.shape(discont_apply)[0]\n",
    "approve_apply=np.matmul(approve_Big,np.transpose(weights_nat)); approve_dim=np.shape(approve_apply)[0]\n",
    "\n",
    "apply_classifier = np.vstack((approve_apply,discont_apply))\n",
    "mda_thera = apply_classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1a1ea14a90>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "reacts = np.hstack((approve_ELISAs,discont_ELISAs))\n",
    "\n",
    "names = [\"Therapeutic Abs\" for x in range(approve_dim+discont_dim)]\n",
    "\n",
    "fig = pl.figure(figsize = (16, 8))\n",
    "d1 = {'Dataset': names, 'Linear Discriminant 1': mda_thera.reshape(len(mda_thera)),\n",
    "     'Reactivity' : reacts}\n",
    "df1 = pandas.DataFrame(data=d1)\n",
    "sns.set(style=\"white\", color_codes=True,font_scale=1.5)\n",
    "\n",
    "#cmap    = sns.dark_palette(ZZ, reverse=False, as_cmap=True )\n",
    "#cmap = sns.diverging_palette(58, 15, s=99, l=50,n=20,as_cmap = True)\n",
    "cmap = mpl.cm.YlOrRd\n",
    "norm = mpl.colors.Normalize(vmin=0, vmax=reacts.max()-10)\n",
    "colors = {}\n",
    "for cval in reacts:\n",
    "    colors.update({cval : cmap(norm(cval))})\n",
    "\n",
    "zz = sns.swarmplot(x=\"Dataset\", y=\"Linear Discriminant 1\", data=df1, hue = 'Reactivity', palette = colors)\n",
    "\n",
    "sns.despine()\n",
    "zz.legend_.remove()\n",
    "\n",
    "norm = mpl.colors.Normalize(vmin=0, vmax=reacts.max()-10)\n",
    "sm = pl.cm.ScalarMappable(cmap=cmap, norm=norm)\n",
    "sm.set_array([])\n",
    "pl.colorbar(sm, ticks=np.linspace(0,reacts.max()-10,8))\n",
    "             #boundaries=np.arange(-0.05,2.1,.1))\n",
    "\n",
    "#pl.legend(loc='upper right')\n",
    "#pl.savefig('LDA_NatpolyVsTherapoly.pdf',format='pdf')"
   ]
  }
 ],
 "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": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
The diff you're trying to view is too large. Only the first 1000 changed files have been loaded.
Showing with 0 additions and 0 deletions (0 / 0 diffs computed)
swh spinner

Computing file changes ...

back to top

Software Heritage — Copyright (C) 2015–2026, The Software Heritage developers. License: GNU AGPLv3+.
The source code of Software Heritage itself is available on our development forge.
The source code files archived by Software Heritage are available under their own copyright and licenses.
Terms of use: Archive access, API— Content policy— Contact— JavaScript license information— Web API