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{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Create plots for panels used in figure 1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Available binaries: ['C:\\\\Program Files\\\\R\\\\R-3.6.1\\\\bin\\\\i386\\\\R.exe', 'C:\\\\Program Files\\\\R\\\\R-4.1.0\\\\bin\\\\i386\\\\R.exe']\n",
      "Using R:  C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from matplotlib.collections import PathCollection\n",
    "import seaborn as sns\n",
    "from scipy.optimize import curve_fit\n",
    "import dclab\n",
    "from lin_mixed_model import linmixmod\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Panels A and B"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 2,
   "outputs": [],
   "source": [
    "#define a color seed for each patient\n",
    "color_dict = {'VS': 'C0', 'VL': 'C1', 'RS': 'C2',\n",
    "              'KM': 'C3', 'LM': 'C4'}"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "def weighted_means_and_errors(counts, counts_abs):\n",
    "    \"\"\"Calculate weighted mean values and error from the input arrays\"\"\"\n",
    "\n",
    "    weights = np.zeros_like(counts)\n",
    "    weights_normed = np.zeros_like(counts)\n",
    "\n",
    "    # sum up number of cell in each velocity range, for every measurement\n",
    "    counts_sum = np.sum(counts_abs, axis = 2)\n",
    "    sum_counts = np.sum(counts_sum, axis = 1)\n",
    "\n",
    "    # calculate absolute and relative weights\n",
    "    for k in range(len(weights[0,:,0])):\n",
    "        weights[:,k,:] = np.sum(counts_abs, axis = 1)\n",
    "        weights_normed[:,k,:] = weights[:,k,:] / sum_counts[k]     #needed for calculation of the error\n",
    "\n",
    "    # calculate weighted averages, mask nans\n",
    "    means = np.ma.average(counts, axis = 2, weights = weights)\n",
    "    means = np.array(means)     #remove mask again\n",
    "\n",
    "    # calculate weighted variance and from that the error\n",
    "    var = np.zeros_like(means)\n",
    "\n",
    "    for l in range(len(counts[0,0,:])):\n",
    "        var += (counts[:,:,l]-means)**2 * weights_normed[:,:,l]\n",
    "\n",
    "    errs = np.sqrt(var)\n",
    "\n",
    "    # make sure that probability sums up to 1\n",
    "    for i in range(len(means)):\n",
    "        means[i,:] = means[i,:]/sum(means[i,:])\n",
    "\n",
    "    return means, errs\n",
    "\n",
    "def logistic_growth(x, A, x_0, k):\n",
    "    \"\"\"The logistic growth fct\"\"\"\n",
    "    return A/(1+np.exp(-k*(x-x_0)))\n",
    "\n",
    "def deformed_probability_curve(df, v_min=0, v_max=3, binsize=.25):\n",
    "    \"\"\"Compute the values for the shape probability diagram to find a cell\n",
    "    in a deformed state for velocities between v_min and v_max in the DataFrame df\n",
    "\n",
    "    returns: *tuple* (deformed_bins, deformed_hist_normal)\n",
    "        - deformed_bins: *array* limits for the bin ranges of the histogram\n",
    "        - normalized counts for each velocity range\n",
    "    \"\"\"\n",
    "\n",
    "    bins = int(v_max/binsize)   #number of Bins in histogram\n",
    "    #find index of cells in a deformed state. Class definitions are:\n",
    "    #1-parachute, 2-slipper, 3-asym. parachute, 5-multilobe, 7-undefined deformed\n",
    "    #4-discocyte/undeformed, 6-tumbler\n",
    "    deformed_index = ((df['shape'] == 1)\n",
    "                      | (df['shape'] == 2)\n",
    "                      | (df['shape'] == 3)\n",
    "                      | (df['shape'] == 5)\n",
    "                      | (df['shape'] == 7))\n",
    "\n",
    "    #create new column in df that is True for deformed state\n",
    "    df['deformed'] = False\n",
    "    df['deformed'][deformed_index] = True\n",
    "\n",
    "    df_deformed = df[deformed_index]\n",
    "\n",
    "    deformed_hist, deformed_bins = np.histogram(np.array(df_deformed['velocity']),\n",
    "                                                range = (v_min,v_max),\n",
    "                                                bins = bins)\n",
    "    #get the counts for all events to use for normalization\n",
    "    all_hist, all_bins = np.histogram(np.array(df['velocity']),\n",
    "                                      range = (v_min,v_max),\n",
    "                                      bins = bins)\n",
    "\n",
    "    #normalize the deformed histogram\n",
    "    deformed_hist_normal = deformed_hist/all_hist\n",
    "\n",
    "    return deformed_bins, deformed_hist_normal"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 22,
   "outputs": [
    {
     "data": {
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      "text/plain": "<Figure size 432x720 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "patients = ['VS', 'VL', 'RS', 'LM', 'KM']\n",
    "labels = [\"P1\", \"P2\", \"P3\", \"P4\", \"P5\"]\n",
    "\n",
    "result_summary_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\Jupyter\\MCFM\\result_summaries\"\n",
    "\n",
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    "lw = 2\n",
    "xlabel = \"Velocity [mm/s]\"\n",
    "ylabel = \"Probability for deformed shape\"\n",
    "fontsize = 18\n",
    "color_ctrl = 'darkgray'\n",
    "color_ctrl_fit = 'darkcyan'\n",
    "alpha_ctrl = .99\n",
    "alpha_ctrl_fit = 1\n",
    "lw_ctrl =2\n",
    "v_min = 0.\n",
    "v_max = 3.\n",
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    "binsize = 0.25\n",
    "\n",
    "figsize = (6, 10)\n",
    "\n",
    "with sns.axes_style('darkgrid'):\n",
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    "    fig = plt.figure(0, figsize)\n",
    "\n",
    "    #plot control curves\n",
    "    #load data from txt file\n",
    "    results_ctrl = np.loadtxt(\"histograms_HealthyControl_deformed_undeformed.txt\")\n",
    "\n",
    "    v_ctrl = results_ctrl[:,0]\n",
    "    probs_ctrl = results_ctrl[:,3]\n",
    "    probs_ctrl_err = results_ctrl[:,4]\n",
    "\n",
    "    #fit the control data\n",
    "    fit_bounds=(0, [1, np.inf, np.inf])\n",
    "\n",
    "    ind_vmax = v_ctrl <= v_max\n",
    "    v_ctrl = v_ctrl[ind_vmax]\n",
    "    probs_ctrl = probs_ctrl[ind_vmax]\n",
    "    probs_ctrl_err = probs_ctrl_err[ind_vmax]\n",
    "\n",
    "    popt_ctrl, pcov_ctrl = curve_fit(logistic_growth, v_ctrl, probs_ctrl,\n",
    "                                     sigma = probs_ctrl_err, absolute_sigma=False,\n",
    "                                     bounds = fit_bounds)\n",
    "    for i in range(2):\n",
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    "        plt.subplot(2,1,i+1)\n",
    "        plt.errorbar(v_ctrl, probs_ctrl, probs_ctrl_err, color=color_ctrl, lw=lw, alpha=alpha_ctrl, label='CTRL', zorder=1)\n",
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    "        plt.plot(v_ctrl, logistic_growth(v_ctrl, *popt_ctrl), '--', color=color_ctrl_fit, lw=lw,\n",
    "                 alpha=alpha_ctrl_fit, label='CTRL fit')\n",
    "\n",
    "    for ii, patient in enumerate(patients):\n",
    "        bins = int(v_max / binsize)   #number of Bins in histogram\n",
    "\n",
    "        result_file = os.path.join(result_summary_folder, patient + \"_results_MCFM.tsv\")\n",
    "        df_results = pd.read_csv(result_file, sep='\\t')\n",
    "\n",
    "        dates = np.unique(df_results['date'])\n",
    "        dates = np.sort(dates)\n",
    "\n",
    "        day0 = dates[0]\n",
    "\n",
    "        color = color_dict[patient]\n",
    "\n",
    "        df_date = df_results[df_results['date']==day0]\n",
    "        #create new Dataframe to work with, leave out skipped cells\n",
    "        df = df_date[df_date['shape'] != 0]\n",
    "\n",
    "        healthy_index = df['health'] == 0\n",
    "        df_healthy = df[healthy_index]\n",
    "        unhealthy_index = df['health'] == 1\n",
    "        df_unhealthy = df[unhealthy_index]\n",
    "\n",
    "        #calculate percentage of healthy cells in sample\n",
    "        percentage_healthy = len(df_healthy)/len(df)\n",
    "\n",
    "        bins_healthy, deformed_curve_healthy =  deformed_probability_curve(df_healthy,\n",
    "                                                                           v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "        bins_unhealthy, deformed_curve_unhealthy =  deformed_probability_curve(df_unhealthy,\n",
    "                                                                               v_min=v_min, v_max=v_max, binsize=binsize)\n",
    "\n",
    "        bins_plot_healthy = bins_healthy[:-1]+binsize/2\n",
    "        bins_plot_unhealthy = bins_unhealthy[:-1]+binsize/2\n",
    "\n",
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    "        plt.subplot(211)\n",
    "        plt.plot(bins_plot_healthy, deformed_curve_healthy, c=color, lw=lw, label=labels[ii])\n",
    "        plt.ylim(0,1)\n",
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    "        plt.subplot(212)\n",
    "        plt.plot(bins_plot_unhealthy, deformed_curve_unhealthy, c=color, lw=lw, label=labels[ii])\n",
    "        plt.ylim(0,1)\n",
    "\n",
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    "    plt.subplot(211)\n",
    "    plt.xlim(0,3)\n",
    "    plt.ylim(0,1.1)\n",
    "    plt.xlabel(xlabel, fontsize = fontsize)\n",
    "    plt.ylabel(ylabel, fontsize = fontsize)\n",
    "    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "    plt.legend(ncol=2, fontsize=fontsize)\n",
    "\n",
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    "    ax2 = plt.subplot(212)\n",
    "    plt.xlim(0,3)\n",
    "    plt.ylim(0,1.1)\n",
    "    plt.xlabel(xlabel, fontsize = fontsize)\n",
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    "    plt.ylabel(ylabel, fontsize = fontsize)\n",
    "    plt.tick_params(axis='both', which='both', labelsize=fontsize-2)\n",
    "    plt.legend(ncol=2, fontsize=fontsize)\n",
    "\n",
    "    for i in range(2):\n",
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    "        ax = plt.subplot(2,1,i+1)\n",
    "        handles, labels = ax.get_legend_handles_labels()\n",
    "        handles = np.roll(handles,-1)\n",
    "        labels = np.roll(labels, -1)\n",
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    "        ax.legend(handles=list(handles), labels=list(labels), fontsize=fontsize-2, ncol=2)\n",
    "\n",
    "    plt.tight_layout(w_pad=2)\n",
    "\n",
    "    savefolder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\MCFM\"\n",
    "    savename = \"MCFM_baseline_fig1\"\n",
    "    savepath = os.path.join(savefolder,savename)\n",
    "\n",
    "    fig.savefig(savepath+\".pdf\", dpi=900, format='pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Plots for panels F and G and calculation of p-values with linear mixed effect models"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
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   "execution_count": 3,
   "outputs": [],
   "source": [
    "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"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Read in the data from disk"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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Felix Reichel committed
   "execution_count": 4,
   "outputs": [],
   "source": [
    "savefolder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\RTDC\"\n",
    "savename = \"20210610_RBC_baseline_plotdata.tsv\"\n",
    "savepath = os.path.join(savefolder, savename)\n",
    "\n",
    "df_rbc = pd.read_csv(savepath, sep = '\\t')\n",
    "df_rbc['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_rbc['patient'] == patient\n",
    "    df_rbc['patient_label'][ind] = patient_label"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Deformation"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 21.5, 'Patient')"
     },
     "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_rbc, 'patient_label', 'deform',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize)\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "plots_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\RTfDC_RBCs\"\n",
    "save_name = \"RBC_baseline_deformation\"\n",
    "savepath = os.path.join(plots_folder, 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": [
    "Calculate p-value and other statistics"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "ename": "OSError",
     "evalue": "R installation at C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe: try({library(lme4)})\r\nLoading required package: Matrix\r\nError : package or namespace load failed for 'lme4' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):\r\n there is no package called 'statmod'\r\nIn addition: Warning message:\r\npackage 'lme4' was built under R version 3.6.3 \r\n\nPlease install 'lme4' via:\n              C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe -e \"install.packages('lme4', repos='http://cran.r-project.org')\n              ",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mOSError\u001B[0m                                   Traceback (most recent call last)",
      "\u001B[1;32m<ipython-input-10-7e28e99109b9>\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[0;32m      3\u001B[0m Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n\u001B[0;32m      4\u001B[0m                    \u001B[1;31m#df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m----> 5\u001B[1;33m                    timeunit=df_rbc['repeat']+1, model='lmm')\n\u001B[0m\u001B[0;32m      6\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m      7\u001B[0m \u001B[0mprint\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m\"p-Value (Likelihood Ratio Test):\"\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mResult\u001B[0m\u001B[1;33m[\u001B[0m\u001B[1;34m\"p-Value (Likelihood Ratio Test)\"\u001B[0m\u001B[1;33m]\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32m~\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\Jupyter\\figure_plots\\lin_mixed_model.py\u001B[0m in \u001B[0;36mlinmixmod\u001B[1;34m(xs, treatment, timeunit, model, RCMD)\u001B[0m\n\u001B[0;32m    461\u001B[0m                       \"\"\"Please install 'lme4' via:\n\u001B[0;32m    462\u001B[0m               \u001B[1;33m{\u001B[0m\u001B[1;33m}\u001B[0m \u001B[1;33m-\u001B[0m\u001B[0me\u001B[0m\u001B[0;31m \u001B[0m\u001B[0;31m\"\u001B[0m\u001B[0minstall\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpackages\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m'lme4'\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mrepos\u001B[0m\u001B[1;33m=\u001B[0m\u001B[1;34m'http://cran.r-project.org'\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 463\u001B[1;33m               \"\"\".format(RCMD)\n\u001B[0m\u001B[0;32m    464\u001B[0m                       )\n\u001B[0;32m    465\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;31mOSError\u001B[0m: R installation at C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe: try({library(lme4)})\r\nLoading required package: Matrix\r\nError : package or namespace load failed for 'lme4' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):\r\n there is no package called 'statmod'\r\nIn addition: Warning message:\r\npackage 'lme4' was built under R version 3.6.3 \r\n\nPlease install 'lme4' via:\n              C:\\Program Files\\R\\R-3.6.1\\bin\\i386\\R.exe -e \"install.packages('lme4', repos='http://cran.r-project.org')\n              "
     ]
    }
   ],
   "source": [
    "para = 'deform'\n",
    "\n",
    "Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_rbc['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": [
    "#### Projected area"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 21.5, 'Patient')"
     },
     "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_rbc, 'patient_label', 'area_um',\n",
    "                       order=patient_labels,\n",
    "                       pal='chac_paper_custom',\n",
    "                       fontsize_labels=fontsize)\n",
    "ax.set_ylabel(r\"Projected area [µm$^2$]\")\n",
    "ax.set_xlabel(\"Patient\", fontsize=fontsize+2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "outputs": [],
   "source": [
    "plots_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\RTfDC_RBCs\"\n",
    "save_name = \"RBC_baseline_area\"\n",
    "savepath = os.path.join(plots_folder, 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": [
    "Statistics"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "para = 'area_um'\n",
    "\n",
    "Result = linmixmod(xs=df_rbc[para], treatment=df_rbc['treatment'],\n",
    "                   #df_rbc['repeat'] begins at 0, but 0 values are excluded from the computation\n",
    "                   timeunit=df_rbc['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": [
    "### Panels H and I"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Lymphocyte files"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 5,
   "outputs": [],
   "source": [
    "lympho_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\RTDC\\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,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 6,
   "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": "code",
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   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 2.5)"
     },
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     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
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Felix Reichel committed
      "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', 'emodulus',\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",
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    "ax.set_ylabel(\"Young's modulus [kPa]\", fontsize=fontsize+2)\n",
    "ax.set_ylim(0.5,2.5)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 9,
   "outputs": [],
   "source": [
    "plots_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\RTDC_WBCs\"\n",
    "save_name = \"WBC_lympho_baseline_emod\"\n",
    "savepath = os.path.join(plots_folder, 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,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_lympho[para], treatment=df_lympho['treatment'],\n",
    "                   #df_rbc['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": [
    "Create dataframe for myelocytes"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 10,
   "outputs": [],
   "source": [
    "myelo_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\Analysis\\RTDC\\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",
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   "execution_count": 11,
   "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": "code",
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   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 1.8)"
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     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
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Felix Reichel committed
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize=20\n",
    "fig, ax = plot_violins(df_myelo, 'patient_label', 'emodulus',\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",
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    "ax.set_ylabel(\"Young's modulus [kPa]\", fontsize=fontsize+2)\n",
    "ax.set_ylim(.5,1.8)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 13,
   "outputs": [],
   "source": [
    "plots_folder = r\"C:\\Users\\freiche\\ownCloud\\PhD\\Projects\\ChAc\\manuscript\\figures\\plots\\RTDC_WBCs\"\n",
    "save_name = \"WBC_myelo_baseline_emod\"\n",
    "savepath = os.path.join(plots_folder, 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": null,
   "outputs": [],
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_myelo[para], treatment=df_myelo['treatment'],\n",
    "                   #df_rbc['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,