drevalpy-report/LPO.html at main · DILiS-lab/drevalpy-report · GitHub

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<!DOCTYPE html>
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  <head>
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    <title>Result report: Subpage</title>
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            { data: "MSE" },
            { data: "R^2" },
            { data: "Pearson" },
            { data: "R^2: normalized" },
            { data: "Pearson: normalized" },
            { data: "RMSE" },
            { data: "MAE" },
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            { data: "Kendall" },
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            { data: "Kendall: normalized" },
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            { data: "cell_line" },
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            { data: "drug_name" },
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            { data: "Pearson" },
            { data: "RMSE" },
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      <a href="#violin">Violin Plot</a>
      <a href="#heatmap">Heatmaps</a>
      <a href="#regression_plots">Regression plots: True vs. Predicted</a>
      <a href="#corr_comp">Correlation comparison</a>
      <a
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        >Correlation comparison per drug</a
      >
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<h1>Results for all_results: LPO</h1>
<object data=critical_difference_plots/critical_difference_algorithms_LPO.svg> </object><br><br>This diagram displays the mean rank of each model over all cross-validation splits: Within each CV split, the models are ranked according to their MSE. We calculate whether a model is significantly better than another one using the Friedman test and the post-hoc Conover test. The Friedman test shows whether there are overall differences between the models. After a significantFriedman test, the pairwise Conover test is performed to identify which models are significantly outperforming others. One line indicates which models are not significantly different from each other. The p-values are shown below. This can only be rendered if at least 3 models were run.<br><br><h2>Results of the pairwise Post-Hoc Conover Test</h2><p>All p-values are adjusted with Benjamini-Hochberg correction.</p><br><table class="display customDataTable" style="width:100%">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>DIPK</th>
      <th>ElasticNet</th>
      <th>GradientBoosting</th>
      <th>MultiOmicsNeuralNetwork</th>
      <th>MultiOmicsRandomForest</th>
      <th>NaiveCellLineMeanPredictor</th>
      <th>NaiveDrugMeanPredictor</th>
      <th>NaiveMeanEffectsPredictor</th>
      <th>NaivePredictor</th>
      <th>NaiveTissueMeanPredictor</th>
      <th>ProteomicsRandomForest</th>
      <th>RandomForest</th>
      <th>SRMF</th>
      <th>SimpleNeuralNetwork</th>
      <th>SuperFELTR</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>DIPK</th>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0035</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>ElasticNet</th>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0076</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0035</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>GradientBoosting</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0001</td>
      <td>0.0314</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>MultiOmicsNeuralNetwork</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.5853</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0161</td>
      <td>0.0015</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>MultiOmicsRandomForest</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.5853</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0589</td>
      <td>0.0076</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>NaiveCellLineMeanPredictor</th>
      <td>0.0000</td>
      <td>0.0076</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0035</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>NaiveDrugMeanPredictor</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0001</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0314</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>NaiveMeanEffectsPredictor</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0314</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>NaivePredictor</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0314</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0035</td>
    </tr>
    <tr>
      <th>NaiveTissueMeanPredictor</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0035</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0314</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>ProteomicsRandomForest</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0161</td>
      <td>0.0589</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.4174</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>RandomForest</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0015</td>
      <td>0.0076</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.4174</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>SRMF</th>
      <td>0.0000</td>
      <td>0.0035</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0314</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>SimpleNeuralNetwork</th>
      <td>0.0035</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
      <td>0.0000</td>
    </tr>
    <tr>
      <th>SuperFELTR</th>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0035</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>0.0000</td>
      <td>1.0000</td>
    </tr>
  </tbody>
</table><h2 id='violin'>Violin Plots of Performance Measures over CV runs</h2>
<h3>Violin plots comparing all models</h3>
To focus on a specific metric, choose it in the dropdown menu in the top right corner.You can investigate the distribution of the performance measures by hovering over the plot.
To select/exclude specific algorithms, (double-)click them in the legend.<iframe src="violin_plots/violin_algorithms_LPO.html" width="100%" height="100%" frameBorder="0"></iframe>
<h3>Violin plots comparing all models with normalized metrics</h3>
Before calculating the evaluation metrics, all values were normalized by the predictions of the NaiveMeanEffectsPredictor. Since this only influences the R^2 and the correlation metrics, the error metrics are not shown.
<iframe src="violin_plots/violin_algorithms_LPO_normalized.html" width="100%" height="100%" frameBorder="0"></iframe>
<h3>Violin plots comparing performance measures for tests within each model</h3>
<ul><li><a href="violin_plots/violin_SuperFELTR_LPO.html" target="_blank">violin_SuperFELTR_LPO.html</a></li>
<li><a href="violin_plots/violin_SRMF_LPO.html" target="_blank">violin_SRMF_LPO.html</a></li>
<li><a href="violin_plots/violin_GradientBoosting_LPO.html" target="_blank">violin_GradientBoosting_LPO.html</a></li>
<li><a href="violin_plots/violin_DIPK_LPO.html" target="_blank">violin_DIPK_LPO.html</a></li>
<li><a href="violin_plots/violin_MultiOmicsNeuralNetwork_LPO.html" target="_blank">violin_MultiOmicsNeuralNetwork_LPO.html</a></li>
<li><a href="violin_plots/violin_RandomForest_LPO.html" target="_blank">violin_RandomForest_LPO.html</a></li>
<li><a href="violin_plots/violin_SimpleNeuralNetwork_LPO.html" target="_blank">violin_SimpleNeuralNetwork_LPO.html</a></li>
<li><a href="violin_plots/violin_MultiOmicsRandomForest_LPO.html" target="_blank">violin_MultiOmicsRandomForest_LPO.html</a></li>
<li><a href="violin_plots/violin_ElasticNet_LPO.html" target="_blank">violin_ElasticNet_LPO.html</a></li>
<li><a href="violin_plots/violin_NaiveCellLineMeanPredictor_LPO.html" target="_blank">violin_NaiveCellLineMeanPredictor_LPO.html</a></li>
</ul>
<h2 id='heatmap'>Heatmap Plots of Performance Measures over CV runs</h2>
<h3>Heatmap plots comparing all models</h3>
Unnormalized metrics collapsed over all CV runs with mean and standard deviation.
The strictly standardized mean difference is a measure of effect size which is calculated pairwise. For two models, it is calculated as [mean1 - mean2] / [sqrt(var1 + var2)] for a specific measure. The larger the absolute SSMD, the stronger the effect (a strong effect could, is e.g., a |SSMD| > 2 ).
<iframe src="heatmaps/heatmap_algorithms_LPO.html" width="100%" height="100%" frameBorder="0"></iframe>
<h3>Heatmap plots comparing all models with normalized metrics</h3>
Before calculating the evaluation metrics, all values were normalized by the predictions of the NaiveMeanEffectsPredictor. Since this only influences the R^2 and the correlation metrics, the error metrics are not shown.
<iframe src="heatmaps/heatmap_algorithms_LPO_normalized.html" width="100%" height="100%" frameBorder="0"></iframe>
<h3>Heatmap plots comparing performance measures for tests within each model</h3>
<ul><li><a href="heatmaps/heatmap_SimpleNeuralNetwork_LPO.html" target="_blank">heatmap_SimpleNeuralNetwork_LPO.html</a></li>
<li><a href="heatmaps/heatmap_DIPK_LPO.html" target="_blank">heatmap_DIPK_LPO.html</a></li>
<li><a href="heatmaps/heatmap_SRMF_LPO.html" target="_blank">heatmap_SRMF_LPO.html</a></li>
<li><a href="heatmaps/heatmap_ElasticNet_LPO.html" target="_blank">heatmap_ElasticNet_LPO.html</a></li>
<li><a href="heatmaps/heatmap_MultiOmicsRandomForest_LPO.html" target="_blank">heatmap_MultiOmicsRandomForest_LPO.html</a></li>
<li><a href="heatmaps/heatmap_RandomForest_LPO.html" target="_blank">heatmap_RandomForest_LPO.html</a></li>
<li><a href="heatmaps/heatmap_NaiveCellLineMeanPredictor_LPO.html" target="_blank">heatmap_NaiveCellLineMeanPredictor_LPO.html</a></li>
<li><a href="heatmaps/heatmap_SuperFELTR_LPO.html" target="_blank">heatmap_SuperFELTR_LPO.html</a></li>
<li><a href="heatmaps/heatmap_GradientBoosting_LPO.html" target="_blank">heatmap_GradientBoosting_LPO.html</a></li>
<li><a href="heatmaps/heatmap_MultiOmicsNeuralNetwork_LPO.html" target="_blank">heatmap_MultiOmicsNeuralNetwork_LPO.html</a></li>
</ul>
<h2 id="regression_plots">Regression plots</h2>
<ul>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_DIPK.html" target="_blank">regression_lines_LPO_cell_line_name_DIPK.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_ElasticNet.html" target="_blank">regression_lines_LPO_cell_line_name_ElasticNet.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_GradientBoosting.html" target="_blank">regression_lines_LPO_cell_line_name_GradientBoosting.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_MultiOmicsNeuralNetwork.html" target="_blank">regression_lines_LPO_cell_line_name_MultiOmicsNeuralNetwork.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_MultiOmicsRandomForest.html" target="_blank">regression_lines_LPO_cell_line_name_MultiOmicsRandomForest.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_NaiveCellLineMeanPredictor.html" target="_blank">regression_lines_LPO_cell_line_name_NaiveCellLineMeanPredictor.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_NaiveTissueMeanPredictor.html" target="_blank">regression_lines_LPO_cell_line_name_NaiveTissueMeanPredictor.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_ProteomicsRandomForest.html" target="_blank">regression_lines_LPO_cell_line_name_ProteomicsRandomForest.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_RandomForest.html" target="_blank">regression_lines_LPO_cell_line_name_RandomForest.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_SRMF.html" target="_blank">regression_lines_LPO_cell_line_name_SRMF.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_SimpleNeuralNetwork.html" target="_blank">regression_lines_LPO_cell_line_name_SimpleNeuralNetwork.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_SuperFELTR.html" target="_blank">regression_lines_LPO_cell_line_name_SuperFELTR.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_DIPK_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_DIPK_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_ElasticNet_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_ElasticNet_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_GradientBoosting_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_GradientBoosting_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_MultiOmicsNeuralNetwork_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_MultiOmicsNeuralNetwork_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_MultiOmicsRandomForest_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_MultiOmicsRandomForest_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_NaiveCellLineMeanPredictor_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_NaiveCellLineMeanPredictor_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_NaiveTissueMeanPredictor_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_NaiveTissueMeanPredictor_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_ProteomicsRandomForest_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_ProteomicsRandomForest_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_RandomForest_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_RandomForest_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_SRMF_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_SRMF_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_SimpleNeuralNetwork_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_SimpleNeuralNetwork_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_cell_line_name_normalized_SuperFELTR_normalized.html" target="_blank">regression_lines_LPO_cell_line_name_normalized_SuperFELTR_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_DIPK.html" target="_blank">regression_lines_LPO_drug_name_DIPK.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_ElasticNet.html" target="_blank">regression_lines_LPO_drug_name_ElasticNet.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_GradientBoosting.html" target="_blank">regression_lines_LPO_drug_name_GradientBoosting.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_MultiOmicsNeuralNetwork.html" target="_blank">regression_lines_LPO_drug_name_MultiOmicsNeuralNetwork.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_MultiOmicsRandomForest.html" target="_blank">regression_lines_LPO_drug_name_MultiOmicsRandomForest.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_NaiveCellLineMeanPredictor.html" target="_blank">regression_lines_LPO_drug_name_NaiveCellLineMeanPredictor.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_NaiveTissueMeanPredictor.html" target="_blank">regression_lines_LPO_drug_name_NaiveTissueMeanPredictor.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_ProteomicsRandomForest.html" target="_blank">regression_lines_LPO_drug_name_ProteomicsRandomForest.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_RandomForest.html" target="_blank">regression_lines_LPO_drug_name_RandomForest.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_SRMF.html" target="_blank">regression_lines_LPO_drug_name_SRMF.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_SimpleNeuralNetwork.html" target="_blank">regression_lines_LPO_drug_name_SimpleNeuralNetwork.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_SuperFELTR.html" target="_blank">regression_lines_LPO_drug_name_SuperFELTR.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_DIPK_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_DIPK_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_ElasticNet_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_ElasticNet_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_GradientBoosting_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_GradientBoosting_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_MultiOmicsNeuralNetwork_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_MultiOmicsNeuralNetwork_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_MultiOmicsRandomForest_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_MultiOmicsRandomForest_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_NaiveCellLineMeanPredictor_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_NaiveCellLineMeanPredictor_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_NaiveTissueMeanPredictor_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_NaiveTissueMeanPredictor_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_ProteomicsRandomForest_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_ProteomicsRandomForest_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_RandomForest_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_RandomForest_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_SRMF_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_SRMF_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_SimpleNeuralNetwork_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_SimpleNeuralNetwork_normalized.html</a></li>
<li><a href="regression_plots/regression_lines_LPO_drug_name_normalized_SuperFELTR_normalized.html" target="_blank">regression_lines_LPO_drug_name_normalized_SuperFELTR_normalized.html</a></li>
</ul>
<h2 id="corr_comp">Comparison of normalized R^2 values</h2>
R^2 values can be compared here between models, either per cell line or per drug. This can either show if a model has consistently higher or lower R^2 values than another model or identify cell lines/drugs for which models agree or disagree.
The x-axis is the first dropdown menu, the y-axis is the second dropdown menu.
<h3 id="corr_comp_drug">Drug_name-wise comparison</h3>
<iframe src="comp_scatter/comp_scatter_drug_name_LPO.html" width="100%" height="100%" frameBorder="0"></iframe>
<h4>Comparisons per model</h4>
<ul>
<li><a href="comp_scatter/comp_scatter_cell_line_name DIPK LPO.html" target="_blank">comp_scatter_cell_line_name DIPK LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name ElasticNet LPO.html" target="_blank">comp_scatter_cell_line_name ElasticNet LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name GradientBoosting LPO.html" target="_blank">comp_scatter_cell_line_name GradientBoosting LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name MultiOmicsNeuralNetwork LPO.html" target="_blank">comp_scatter_cell_line_name MultiOmicsNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name MultiOmicsRandomForest LPO.html" target="_blank">comp_scatter_cell_line_name MultiOmicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name NaiveTissueMeanPredictor LPO.html" target="_blank">comp_scatter_cell_line_name NaiveTissueMeanPredictor LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name ProteomicsRandomForest LPO.html" target="_blank">comp_scatter_cell_line_name ProteomicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name RandomForest LPO.html" target="_blank">comp_scatter_cell_line_name RandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name SRMF LPO.html" target="_blank">comp_scatter_cell_line_name SRMF LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name SimpleNeuralNetwork LPO.html" target="_blank">comp_scatter_cell_line_name SimpleNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name SuperFELTR LPO.html" target="_blank">comp_scatter_cell_line_name SuperFELTR LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name_LPO.html" target="_blank">comp_scatter_cell_line_name_LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name DIPK LPO.html" target="_blank">comp_scatter_drug_name DIPK LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name ElasticNet LPO.html" target="_blank">comp_scatter_drug_name ElasticNet LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name GradientBoosting LPO.html" target="_blank">comp_scatter_drug_name GradientBoosting LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name MultiOmicsNeuralNetwork LPO.html" target="_blank">comp_scatter_drug_name MultiOmicsNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name MultiOmicsRandomForest LPO.html" target="_blank">comp_scatter_drug_name MultiOmicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name NaiveTissueMeanPredictor LPO.html" target="_blank">comp_scatter_drug_name NaiveTissueMeanPredictor LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name ProteomicsRandomForest LPO.html" target="_blank">comp_scatter_drug_name ProteomicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name RandomForest LPO.html" target="_blank">comp_scatter_drug_name RandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name SRMF LPO.html" target="_blank">comp_scatter_drug_name SRMF LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name SimpleNeuralNetwork LPO.html" target="_blank">comp_scatter_drug_name SimpleNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name SuperFELTR LPO.html" target="_blank">comp_scatter_drug_name SuperFELTR LPO.html</a></li>
</ul>
<h3 id="corr_comp_drug">Cell_line_name-wise comparison</h3>
<iframe src="comp_scatter/comp_scatter_cell_line_name_LPO.html" width="100%" height="100%" frameBorder="0"></iframe>
<h4>Comparisons per model</h4>
<ul>
<li><a href="comp_scatter/comp_scatter_cell_line_name DIPK LPO.html" target="_blank">comp_scatter_cell_line_name DIPK LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name ElasticNet LPO.html" target="_blank">comp_scatter_cell_line_name ElasticNet LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name GradientBoosting LPO.html" target="_blank">comp_scatter_cell_line_name GradientBoosting LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name MultiOmicsNeuralNetwork LPO.html" target="_blank">comp_scatter_cell_line_name MultiOmicsNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name MultiOmicsRandomForest LPO.html" target="_blank">comp_scatter_cell_line_name MultiOmicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name NaiveTissueMeanPredictor LPO.html" target="_blank">comp_scatter_cell_line_name NaiveTissueMeanPredictor LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name ProteomicsRandomForest LPO.html" target="_blank">comp_scatter_cell_line_name ProteomicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name RandomForest LPO.html" target="_blank">comp_scatter_cell_line_name RandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name SRMF LPO.html" target="_blank">comp_scatter_cell_line_name SRMF LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name SimpleNeuralNetwork LPO.html" target="_blank">comp_scatter_cell_line_name SimpleNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_cell_line_name SuperFELTR LPO.html" target="_blank">comp_scatter_cell_line_name SuperFELTR LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name DIPK LPO.html" target="_blank">comp_scatter_drug_name DIPK LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name ElasticNet LPO.html" target="_blank">comp_scatter_drug_name ElasticNet LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name GradientBoosting LPO.html" target="_blank">comp_scatter_drug_name GradientBoosting LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name MultiOmicsNeuralNetwork LPO.html" target="_blank">comp_scatter_drug_name MultiOmicsNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name MultiOmicsRandomForest LPO.html" target="_blank">comp_scatter_drug_name MultiOmicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name NaiveTissueMeanPredictor LPO.html" target="_blank">comp_scatter_drug_name NaiveTissueMeanPredictor LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name ProteomicsRandomForest LPO.html" target="_blank">comp_scatter_drug_name ProteomicsRandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name RandomForest LPO.html" target="_blank">comp_scatter_drug_name RandomForest LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name SRMF LPO.html" target="_blank">comp_scatter_drug_name SRMF LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name SimpleNeuralNetwork LPO.html" target="_blank">comp_scatter_drug_name SimpleNeuralNetwork LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name SuperFELTR LPO.html" target="_blank">comp_scatter_drug_name SuperFELTR LPO.html</a></li>
<li><a href="comp_scatter/comp_scatter_drug_name_LPO.html" target="_blank">comp_scatter_drug_name_LPO.html</a></li>
</ul>
<iframe src="html_tables/table_cross_study_GDSC2_LPO.html" width="100%" height="600" frameborder="0"></iframe>
<iframe src="html_tables/table_cross_study_CCLE_LPO.html" width="100%" height="600" frameborder="0"></iframe>
<iframe src="html_tables/table_cross_study_GDSC1_LPO.html" width="100%" height="600" frameborder="0"></iframe>
<iframe src="html_tables/table_cross_study_CTRPv1_LPO.html" width="100%" height="600" frameborder="0"></iframe>
</div>
</body>
</html>