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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": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Available binaries: ['C:\\\\Program Files\\\\R\\\\R-4.1.2\\\\bin\\\\i386\\\\R.exe']\n",
      "Using R:  C:\\Program Files\\R\\R-4.1.2\\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": "code",
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   "execution_count": 3,
   "outputs": [],
   "source": [
    "# folder where all panel plots for figure 1 will be stored\n",
    "savefolder = r\"plots\\fig1\""
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Panels A and B"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
   "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",
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   "execution_count": 5,
   "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",
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    "def asymptotic_exponential_growth(x, lambda_):\n",
    "    \"\"\"(Inverted) exponential growth function with maximum at 1 for x->infinity:\n",
    "    f(x) = 1 - exp(-lambda * x)\"\"\"\n",
    "    return 1 - np.exp(-lambda_ * x)\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": 12,
   "outputs": [
    {
     "data": {
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      "text/plain": "<Figure size 432x720 with 2 Axes>",
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      "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\"data\\shape_analysis\\result_summaries\"\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(r\"data\\shape_analysis\\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",
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    "    # velocity range to plot for the fitted data\n",
    "    # v_fit_plot = np.linspace(0, v_max, 100)\n",
    "    #fit the control data\n",
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    "    # fit_bounds=(0, 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",
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    "    # popt_ctrl, pcov_ctrl = curve_fit(asymptotic_exponential_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",
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    "        plt.errorbar(v_ctrl, probs_ctrl, probs_ctrl_err,\n",
    "                     color=color_ctrl, lw=lw, alpha=alpha_ctrl, label='CTRL', zorder=1)\n",
    "        # plt.plot(v_fit_plot, asymptotic_exponential_growth(v_fit_plot, *popt_ctrl),\n",
    "        #          '--', 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",
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    "        # 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",
    "    savename = \"fig1AB_baseline_shape_analysis\"\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": 13,
   "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",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "datafolder = r\"data\\RTfDC\"\n",
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    "datafile = \"20210610_RBC_baseline_plotdata.tsv\"\n",
    "filepath = os.path.join(datafolder, datafile)\n",
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    "df_rbc = pd.read_csv(filepath, 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": [
    "#### Projected area"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Patient')"
     "execution_count": 8,
     "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",
   "execution_count": 9,
   "outputs": [],
   "source": [
    "save_name = \"fig1F_RBC_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": [
    "Statistics"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
Felix Reichel's avatar
Felix Reichel committed
      "p-Value (Likelihood Ratio Test): 0.00330963172390973\n",
      "Estimate: 34.7950257450977\n",
      "Std. Error (Estimate): 0.231927862339469\n",
      "Fixed Effect: 1.9086524285161\n",
      "Std. Error (Fixed Effect) 0.489772119197715\n"
   "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": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.00330963024378934\n",
    "Estimate: 34.7950257451201\n",
    "Std. Error (Estimate): 0.231929804369913\n",
    "Fixed Effect: 1.90865253031672\n",
    "Std. Error (Fixed Effect) 0.489752162986003\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#### Deformation"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 0, 'Patient')"
     "execution_count": 11,
     "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",
   "execution_count": 12,
   "outputs": [],
   "source": [
    "save_name = \"fig1G_RBC_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": [
    "Calculate p-value and other statistics"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
Felix Reichel's avatar
Felix Reichel committed
      "p-Value (Likelihood Ratio Test): 0.139245390924611\n",
      "Estimate: 0.259358320302857\n",
      "Std. Error (Estimate): 0.00213584459877687\n",
      "Fixed Effect: -0.00745073293252609\n",
      "Std. Error (Fixed Effect) 0.00513733930871573\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": [
    "```\n",
    "p-Value (Likelihood Ratio Test): 0.139245389471824\n",
    "Estimate: 0.259358319868594\n",
    "Std. Error (Estimate): 0.0021357200925621\n",
    "Fixed Effect: -0.00745073222179398\n",
    "Std. Error (Fixed Effect) 0.00513705367383118\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\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",
   "execution_count": 14,
   "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,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 2.5)"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
Felix Reichel's avatar
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 (stiffness) [kPa]\", fontsize=fontsize+2)\n",
    "ax.set_ylim(0.5,2.5)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [],
   "source": [
    "save_name = \"fig1H_WBC_lympho_baseline_emod\"\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,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "p-Value (Likelihood Ratio Test): 0.0185838785945076\n",
      "Estimate: 0.780505628348731\n",
      "Std. Error (Estimate): 0.383621185643171\n",
      "Fixed Effect: 0.24246450604623\n",
      "Std. Error (Fixed Effect) 0.386715491450513\n"
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_lympho[para], treatment=df_lympho['treatment'],\n",
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    "                   #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): 0.0185838785945788\n",
    "Estimate: 0.780505628348649\n",
    "Std. Error (Estimate): 0.383553673273846\n",
    "Fixed Effect: 0.242465466362725\n",
    "Std. Error (Fixed Effect) 0.38665144907393\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "Create dataframe for myelocytes"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
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   "execution_count": 18,
   "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",
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   "execution_count": 19,
   "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": 20,
   "outputs": [
    {
     "data": {
      "text/plain": "(0.5, 1.8)"
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     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
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      "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 (stiffness) [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": 21,
   "outputs": [],
   "source": [
    "save_name = \"fig1I_WBC_myelo_baseline_emod\"\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": 23,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "p-Value (Likelihood Ratio Test): 0.00706240810654952\n",
      "Estimate: 0.723401625492519\n",
      "Std. Error (Estimate): 0.258049356018904\n",
      "Fixed Effect: 0.146437880098183\n",
      "Std. Error (Fixed Effect) 0.258412927980769\n"
   "source": [
    "para = 'emodulus'\n",
    "\n",
    "Result = linmixmod(xs=df_myelo[para], treatment=df_myelo['treatment'],\n",
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    "                   #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): 0.00706240810655399\n",
    "Estimate: 0.723401625519808\n",
    "Std. Error (Estimate): 0.258067695307158\n",
    "Fixed Effect: 0.146437923010934\n",
    "Std. Error (Fixed Effect) 0.258431194852495\n",
    "```"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
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}