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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "# Create plots for panels used in figure S5"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 33,
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
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    "import matplotlib\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import dclab\n",
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    "from lin_mixed_model import linmixmod\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 34,
   "outputs": [],
   "source": [
    "result_folder = r\"data\\RTfDC\\WBC\"\n",
    "savefolder = r\"plots\\SI\\fig_S5\""
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Manually add means for missing data for LM-9w-20171107"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 35,
   "outputs": [],
   "source": [
    "data_LM_9w_lympho = {'date': '2017-11-07','events': 77, 'flow rate': 0.08, '% gated': 8.43,\n",
    "                     'median area_um': 39., 'mean area_um': 38., 'sd area_um': 5.5,\n",
    "                     'median deform': 0.0264, 'mean deform': 0.0316, 'sd deform': 0.0154}\n",
    "data_LM_9w_myelo = {'date': '2017-11-07','events': 47, 'flow rate': 0.08, '% gated': 5.15,\n",
    "                     'median area_um': 63.3, 'mean area_um': 64.1, 'sd area_um': 5.68,\n",
    "                     'median deform': 0.0319, 'mean deform': 0.0378, 'sd deform': 0.017}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Plot results with gates from brighntess plot (created 20200521)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 36,
   "outputs": [],
   "source": [
    "lympho_ctrl_medians = {'area_um': 37.88789749145508,\n",
    "                       'deform': 0.04369187355041504,\n",
    "                       'emodulus': 0.7527109307300333}\n",
    "myelo_ctrl_medians = {'area_um': 64.04239654541016,\n",
    "                      'deform': 0.08041012287139893,\n",
    "                      'emodulus': 0.7098496091718063}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "source": [
    "def plot_errorbars(patients, labels, cell_type, y_value, err_type='std', fontsize= 28, figsize=(8,6)):\n",
    "\n",
    "    flow_rate = 0.08\n",
    "\n",
    "    linewidth = 6\n",
    "    markersize = 15\n",
    "    #errorbar formatting\n",
    "    errbar_width = 8\n",
    "\n",
    "    color_dict = {'VS': 'C0', 'VL': 'C1', 'RS': 'C2',\n",
    "                  'KM': 'C3', 'LM': 'C4'}\n",
    "\n",
    "    if cell_type == \"lymphos\":\n",
    "        plot_title = \"Lymphocytes\"\n",
    "        ctrl_value = lympho_ctrl_medians[y_value]\n",
    "    elif cell_type == \"myelos\":\n",
    "        plot_title = \"Myelocytes\"\n",
    "        ctrl_value = myelo_ctrl_medians[y_value]\n",
    "\n",
    "    with sns.axes_style('darkgrid'):\n",
    "        fig = plt.figure(0, figsize)\n",
    "        ax1 = plt.subplot(111)\n",
    "\n",
    "        ax_xlabel = \"Day since treatment start\"\n",
    "        ax_ylabel = dclab.dfn.feature_name2label[y_value]\n",
    "\n",
    "        ax1.set_xlabel(ax_xlabel, fontsize=fontsize)\n",
    "        ax1.set_ylabel(ax_ylabel, fontsize=fontsize)\n",
    "\n",
    "        ax1.axhline(ctrl_value, c='darkgray', alpha=.75, ls='--', lw=1.5*linewidth, label='CTRL')\n",
    "\n",
    "        for ind, patient in enumerate(patients):\n",
    "\n",
    "            result_file = \"20200522_results_\" + patient + \"_\" + cell_type + \".tsv\"\n",
    "            result_path = os.path.join(result_folder, result_file)\n",
    "\n",
    "            df = pd.read_csv(result_path, sep='\\t')\n",
    "\n",
    "            if y_value=='emodulus':\n",
    "                emod = dclab.features.emodulus.get_emodulus(area_um=df['area_um'],\n",
    "                                                            deform=df['deform'],\n",
    "                                                            medium=\"CellCarrier\",\n",
    "                                                            channel_width=20.0,\n",
    "                                                            flow_rate=flow_rate)\n",
    "                df['emodulus'] = emod\n",
    "\n",
    "            df_date_grouped_mean = df.groupby(['date', 'flow rate']).median().reset_index()\n",
    "            if err_type=='std':\n",
    "                df_date_grouped_std = df.groupby(['date', 'flow rate']).std().reset_index()\n",
    "            if err_type=='sem':\n",
    "                df_date_grouped_sem = df.groupby(['date', 'flow rate']).sem().reset_index()\n",
    "\n",
    "            dates = pd.to_datetime(df_date_grouped_mean.reset_index()['date'])\n",
    "            day0=dates[0]\n",
    "\n",
    "            time = dates - day0\n",
    "\n",
    "            df_date_grouped_mean['delta_days'] = time.dt.days #convert datetime in ns to days\n",
    "            if err_type=='std':\n",
    "                df_date_grouped_std['delta_days'] = time.dt.days\n",
    "            if err_type=='sem':\n",
    "                df_date_grouped_sem['delta_days'] = time.dt.days\n",
    "\n",
    "            color = color_dict[patient]\n",
    "\n",
    "            #flow rate range from 0.004 - 0.02 ul/s\n",
    "            ii = np.round(df_date_grouped_mean['flow rate'], 3) == flow_rate\n",
    "            x = df_date_grouped_mean['delta_days'][ii]\n",
    "            y = df_date_grouped_mean[y_value][ii]\n",
    "            if err_type=='std':\n",
    "                yerr = df_date_grouped_std[y_value][ii]\n",
    "            if err_type=='sem':\n",
    "                yerr = df_date_grouped_sem[y_value][ii]\n",
    "\n",
    "            x = np.array(x)\n",
    "            y = np.array(y)\n",
    "            yerr = np.array(yerr)\n",
    "\n",
    "            if patient=='LM':\n",
    "                if cell_type == 'lymphos':\n",
    "                    dict_LM_9w = data_LM_9w_lympho\n",
    "                if cell_type == 'myelos':\n",
    "                    dict_LM_9w = data_LM_9w_myelo\n",
    "\n",
    "                date_LM_9w = pd.to_datetime(dict_LM_9w['date'])\n",
    "                time_LM_9w = (date_LM_9w - day0).days\n",
    "\n",
    "                if y_value=='emodulus':\n",
    "                    area = dict_LM_9w['median area_um']\n",
    "                    deform = dict_LM_9w['median deform']\n",
    "                    y_LM_9w = dclab.features.emodulus.get_emodulus(area_um=area,\n",
    "                                                                   deform=deform,\n",
    "                                                                   medium=\"CellCarrier\",\n",
    "                                                                   channel_width=20.0,\n",
    "                                                                   flow_rate=flow_rate)\n",
    "                    yerr_LM_9w = 0\n",
    "                else:\n",
    "                    y_LM_9w = dict_LM_9w['median ' + y_value]\n",
    "\n",
    "                    if err_type=='std':\n",
    "                        yerr_LM_9w = dict_LM_9w['sd ' + y_value]\n",
    "                    if err_type=='sem':\n",
    "                        yerr_LM_9w = dict_LM_9w['sd ' + y_value]/np.sqrt(dict_LM_9w['events'])\n",
    "\n",
    "                x = np.insert(x,1,time_LM_9w)\n",
    "                y = np.insert(y,1,y_LM_9w)\n",
    "                yerr = np.insert(yerr,1,yerr_LM_9w)\n",
    "\n",
    "            if patient=='LM':\n",
    "                ax1.errorbar(x[:-2],y[:-2], yerr=yerr[:-2], ls='-', lw=linewidth, marker='o', c=color, ecolor='gray',\n",
    "                             markersize = markersize, elinewidth=errbar_width, label = labels[ind])\n",
    "                ax1.errorbar(x[-3:],y[-3:], yerr=yerr[-3:], ls='--', lw=linewidth, marker='o', c=color, ecolor='gray',\n",
    "                             markersize = markersize, elinewidth=errbar_width)\n",
    "            else:\n",
    "                ax1.errorbar(x[:-1],y[:-1], yerr=yerr[:-1], ls='-', lw=linewidth, marker='o', c=color, ecolor='gray',\n",
    "                             markersize = markersize, elinewidth=errbar_width, label = labels[ind])\n",
    "                ax1.errorbar(x[-2:],y[-2:], yerr=yerr[-2:], ls='--', lw=linewidth, marker='o', c=color, ecolor='gray',\n",
    "                             markersize = markersize, elinewidth=errbar_width)\n",
    "\n",
    "        if 'LM' in patients:\n",
    "            ax1.legend(fontsize=fontsize-4, ncol=1)\n",
    "        else:\n",
    "            ax1.legend(fontsize=fontsize-4, ncol=2)\n",
    "        ax1.tick_params(axis='both', labelsize=fontsize-2)\n",
    "        plt.title(plot_title, fontsize=fontsize+2)\n",
    "\n",
    "        #set alpha of errorbars\n",
    "        for collection in ax1.collections:\n",
    "            collection.set_alpha(.25)\n",
    "\n",
    "        plt.tight_layout()\n",
    "\n",
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    "    return fig, ax1\n",
    "\n",
    "def plot_violins(dataframe, x_axis, y_axis,\n",
    "                 pal='tab10', color=None, saturation=.9, order=None,\n",
    "                 fontsize_labels = 18, figsize = (6,6),\n",
    "                 stripplot=False, stripalpha=0.3, stripjitter=.1):\n",
    "\n",
    "    ort = \"v\"     #plot orientation\n",
    "    color_ctrl = sns.color_palette('Set2')[7] #color for the control sample\n",
    "\n",
    "    if pal == 'chac_paper_custom':\n",
    "        # adapt new color palette, so that P4 is purple and P5 is red\n",
    "        pal_custom = sns.color_palette('tab10', 5)\n",
    "        palette = pal_custom.copy()\n",
    "        palette[3] = pal_custom[4]\n",
    "        palette[4] = pal_custom[3]\n",
    "        palette.insert(0, color_ctrl)\n",
    "    elif pal is not None:\n",
    "        palette = sns.color_palette(pal)\n",
    "        palette.insert(0, color_ctrl)\n",
    "    else:\n",
    "        palette = None\n",
    "\n",
    "    #some plotting parameters\n",
    "    y_label = dclab.dfn.feature_name2label[y_axis]\n",
    "    sns.set(style=\"darkgrid\")\n",
    "\n",
    "    f, ax = plt.subplots(figsize=figsize)\n",
    "\n",
    "    ax = sns.violinplot(x = x_axis, y = y_axis, data=dataframe,\n",
    "                        order=order, hue_order=order,\n",
    "                        palette = palette,\n",
    "                        bw = .2, cut = 0.,\n",
    "                        scale = 'area',\n",
    "                        inner = 'box',\n",
    "                        saturation = saturation,\n",
    "                        orient = ort,\n",
    "                        color=color)\n",
    "\n",
    "    if stripplot:\n",
    "        ax = sns.stripplot(x = x_axis, y = y_axis, data=dataframe,\n",
    "                           order=order, hue_order=order,\n",
    "                           palette = palette,\n",
    "                           alpha = stripalpha,\n",
    "                           jitter = stripjitter,\n",
    "                           orient = ort,\n",
    "                           zorder=1,\n",
    "                           color=color)\n",
    "\n",
    "    ctrl_median = dataframe[dataframe['patient']=='CTRL'][y_axis].median()\n",
    "    ax.axhline(ctrl_median, c='gray', alpha=.5, ls='--', zorder=1)\n",
    "\n",
    "    ax.set_ylabel(y_label, fontsize = fontsize_labels+2)\n",
    "    ax.xaxis.label.set_size(fontsize_labels)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=fontsize_labels)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=fontsize_labels)\n",
    "\n",
    "    for tick in ax.get_xticklabels():\n",
    "        tick.set_rotation(0)\n",
    "        tick.set_horizontalalignment(\"center\")\n",
    "\n",
    "    #adapt the sizes of the inner box in the violinplot\n",
    "    for child in ax.get_children():\n",
    "        #adapt widths of IQR range and 95% ci\n",
    "        if isinstance(child, matplotlib.lines.Line2D):\n",
    "            lw = child.get_linewidth()\n",
    "            child.set_linewidth(1.75*lw)\n",
    "        #change size of median marker\n",
    "        if isinstance(child, matplotlib.collections.PathCollection):\n",
    "            sizes = child.get_sizes()\n",
    "            child.set(sizes=3*sizes)\n",
    "\n",
    "    return f, ax"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
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   "execution_count": 37,
   "outputs": []
  },
  {
   "cell_type": "markdown",
   "source": [
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    "#### Baseline data for WBC area and deformation"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Lymphocyte files"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "outputs": [],
   "source": [
    "lympho_folder = r\"data\\RTfDC\\WBC\\Analysis-ShapeOut\\data_export_lymphos\"\n",
    "\n",
    "CTRL_file = \"SO2-export_0_20170803_CTRL_WBCs.rtdc\"\n",
    "VS_file = \"SO2-export_1_20170627_VS_WBC.rtdc\"\n",
    "VL_file = \"SO2-export_2_20170711_VL_WBC.rtdc\"\n",
    "RS_file = \"SO2-export_3_20170809_RS_WBC.rtdc\"\n",
    "LM_file = \"SO2-export_4_20170907_LM_0w_WBC.rtdc\"\n",
    "KM_file = \"SO2-export_5_20170829_KM_WBC.rtdc\"\n",
    "\n",
    "lympho_files = [CTRL_file, VS_file, VL_file, RS_file, KM_file, LM_file]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for lymphocytes"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "outputs": [],
   "source": [
    "df_lympho = pd.DataFrame()\n",
    "\n",
    "for index, file in enumerate(lympho_files):\n",
    "\n",
    "    ds = dclab.new_dataset(os.path.join(lympho_folder,file))\n",
    "    df = pd.DataFrame()\n",
    "\n",
    "    for feat in ds.features:\n",
    "        if feat in dclab.definitions.scalar_feature_names:\n",
    "            df[feat] = ds[feat]\n",
    "\n",
    "    df['patient'] = file.split(\"_\")[3]\n",
    "\n",
    "    if \"CTRL\" in file:\n",
    "        df['treatment'] = 'Control'\n",
    "    else:\n",
    "        df['treatment'] = 'Treatment'\n",
    "\n",
    "    df['repeat'] = index\n",
    "\n",
    "    df_lympho = df_lympho.append(df, ignore_index=True)\n",
    "\n",
    "df_lympho['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_lympho['patient'] == patient\n",
    "    df_lympho['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## C\n",
    "#### Lympho area"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Projected area [µm$^2$]')"
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_lympho, 'patient_label', 'area_um',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
    "ax.set_ylabel(r\"Projected area [µm$^2$]\", fontsize=fontsize+2)\n",
    "# ax.set_ylim(0.5,2.5)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [],
   "source": [
    "save_name = \"fig_S5C_WBC_lympho_baseline_area\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Statistical tests"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-Value (Likelihood Ratio Test): 0.0503889719551298\n",
      "Estimate: 37.4313770068846\n",
      "Std. Error (Estimate): 7.21830499646082\n",
      "Fixed Effect: 1.2017433867249\n",
      "Std. Error (Fixed Effect) 7.22371371160544\n"
     ]
    }
   ],
   "source": [
    "para = 'area_um'\n",
    "\n",
    "Result = linmixmod(xs=df_lympho[para], treatment=df_lympho['treatment'],\n",
    "                   #df_lympho['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_lympho['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.0503889719551298\n",
    "Estimate: 37.4313770068846\n",
    "Std. Error (Estimate): 7.21830499646082\n",
    "Fixed Effect: 1.2017433867249\n",
    "Std. Error (Fixed Effect) 7.22371371160544\n",
    "```"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Lympho deformation"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Deformation')"
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "\n",
    "fig, ax = plot_violins(df_lympho, 'patient_label', 'deform',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
    "ax.set_ylabel(r\"Deformation\", fontsize=fontsize+2)\n",
    "# ax.set_ylim(0.5,2.5)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "outputs": [],
   "source": [
    "save_name = \"fig_S5C_WBC_lympho_baseline_deformation\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Statistical tests"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-Value (Likelihood Ratio Test): 0.0125640999812109\n",
      "Estimate: 0.0459008994748452\n",
      "Std. Error (Estimate): 0.0166454674590235\n",
      "Fixed Effect: -0.0128921034592618\n",
      "Std. Error (Fixed Effect) 0.0167477790636341\n"
     ]
    }
   ],
   "source": [
    "para = 'deform'\n",
    "\n",
    "Result = linmixmod(xs=df_lympho[para], treatment=df_lympho['treatment'],\n",
    "                   #df_lympho['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_lympho['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.0125640999812109\n",
    "Estimate: 0.0459008994748452\n",
    "Std. Error (Estimate): 0.0166454674590235\n",
    "Fixed Effect: -0.0128921034592618\n",
    "Std. Error (Fixed Effect) 0.0167477790636341\n",
    "```"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for myelocytes"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "outputs": [],
   "source": [
    "myelo_folder = r\"data\\RTfDC\\WBC\\Analysis-ShapeOut\\data_export_myelos\"\n",
    "CTRL_file = \"SO2-export_0_20170803_CTRL_WBCs.rtdc\"\n",
    "VS_file = \"SO2-export_1_20170627_VS_WBC.rtdc\"\n",
    "VL_file = \"SO2-export_2_20170711_VL_WBC.rtdc\"\n",
    "RS_file = \"SO2-export_3_20170809_RS_WBC.rtdc\"\n",
    "LM_file = \"SO2-export_4_20170907_LM_0w_WBC.rtdc\"\n",
    "KM_file = \"SO2-export_5_20170829_KM_WBC.rtdc\"\n",
    "\n",
    "myelo_files = [CTRL_file, VS_file, VL_file, RS_file, KM_file, LM_file]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "outputs": [],
   "source": [
    "df_myelo = pd.DataFrame()\n",
    "\n",
    "for index, file in enumerate(myelo_files):\n",
    "\n",
    "    ds = dclab.new_dataset(os.path.join(myelo_folder,file))\n",
    "    df = pd.DataFrame()\n",
    "\n",
    "    for feat in ds.features:\n",
    "        if feat in dclab.definitions.scalar_feature_names:\n",
    "            df[feat] = ds[feat]\n",
    "\n",
    "    df['patient'] = file.split(\"_\")[3]\n",
    "\n",
    "    if \"CTRL\" in file:\n",
    "        df['treatment'] = 'Control'\n",
    "    else:\n",
    "        df['treatment'] = 'Treatment'\n",
    "\n",
    "    df['repeat'] = index\n",
    "\n",
    "    df_myelo = df_myelo.append(df, ignore_index=True)\n",
    "\n",
    "df_myelo['patient_label'] = np.nan\n",
    "\n",
    "patients = ['CTRL', 'VS', 'VL', 'RS', 'LM', 'KM']\n",
    "patient_labels = ['CTRL', 'P1', 'P2', 'P3', 'P4', 'P5']\n",
    "for patient, patient_label in zip(patients, patient_labels):\n",
    "    ind = df_myelo['patient'] == patient\n",
    "    df_myelo['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## D\n",
    "#### Myelocyte area"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Projected area [µm$^2$]')"
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "fig, ax = plot_violins(df_myelo, 'patient_label', 'area_um',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
    "ax.set_ylabel(r\"Projected area [µm$^2$]\", fontsize=fontsize+2)\n",
    "# ax.set_ylim(.5,1.8)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "outputs": [],
   "source": [
    "save_name = \"fig_S5D_WBC_myelo_baseline_area\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-Value (Likelihood Ratio Test): 0.164791312813949\n",
      "Estimate: 64.5419305739884\n",
      "Std. Error (Estimate): 7.1531955554096\n",
      "Fixed Effect: 0.90865885966172\n",
      "Std. Error (Fixed Effect) 7.1796022840809\n"
     ]
    }
   ],
   "source": [
    "para = 'area_um'\n",
    "\n",
    "Result = linmixmod(xs=df_myelo[para], treatment=df_myelo['treatment'],\n",
    "                   #df_myelo['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_myelo['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.164791312813949\n",
    "Estimate: 64.5419305739884\n",
    "Std. Error (Estimate): 7.1531955554096\n",
    "Fixed Effect: 0.90865885966172\n",
    "Std. Error (Fixed Effect) 7.1796022840809\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Myelocyte deformation"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0, 0.5, 'Deformation')"
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "fig, ax = plot_violins(df_myelo, 'patient_label', 'deform',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize,\n",
    "                       stripplot=True, saturation=.25)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)\n",
    "ax.set_ylabel(r\"Deformation\", fontsize=fontsize+2)\n",
    "# ax.set_ylim(.5,1.8)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "outputs": [],
   "source": [
    "save_name = \"fig_S5D_WBC_myelo_baseline_deformation\"\n",
    "savepath = os.path.join(savefolder, save_name)\n",
    "fig.tight_layout()\n",
    "fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "p-Value (Likelihood Ratio Test): 0.00403960959658217\n",
      "Estimate: 0.0794685404707606\n",
      "Std. Error (Estimate): 0.0154424386622065\n",
      "Fixed Effect: -0.0231786082086007\n",
      "Std. Error (Fixed Effect) 0.0156093851443472\n"
     ]
    }
   ],
   "source": [
    "para = 'deform'\n",
    "\n",
    "Result = linmixmod(xs=df_myelo[para], treatment=df_myelo['treatment'],\n",
    "                   #df_myelo['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_myelo['repeat']+1, model='lmm')\n",
    "\n",
    "print(\"p-Value (Likelihood Ratio Test):\", Result[\"p-Value (Likelihood Ratio Test)\"])\n",
    "print(\"Estimate:\", Result[\"Estimate\"])\n",
    "print(\"Std. Error (Estimate):\", Result[\"Std. Error (Estimate)\"])\n",
    "print(\"Fixed Effect:\", Result[\"Fixed Effect\"])\n",
    "print(\"Std. Error (Fixed Effect)\", Result[\"Std. Error (Fixed Effect)\"])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.00403960959658217\n",
    "Estimate: 0.0794685404707606\n",
    "Std. Error (Estimate): 0.0154424386622065\n",
    "Fixed Effect: -0.0231786082086007\n",
    "Std. Error (Fixed Effect) 0.0156093851443472\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## E"
   ],
   "metadata": {
    "collapsed": false,