Performance of target prediction using different features and methods on the 29 FDA-approved drugs tested in 7 cell lines.</p
<p>(a) A boxplot showing the predicted clinical bortezomib sensitivity for multiple myeloma patients...
<p>(A) Comparison of the overall target prediction accuracy based on the top hit, top five hits and ...
<p><b>(</b>A) Bar graph showing the prediction performance of five models using experimental data fr...
<p>Prediction performance of the 1234 drugs in different indication range (number of network drugs a...
Performance of two random forest models on validation set of 152 FDA-approved drugs as a function of...
<p>(A) Bar graph showing the prediction performance of six different models for 23 drugs tested in t...
<p>For each disease, the name of the predicted drug target obtained from MetaBase and the AUC perfor...
<p>Predictions are achieved with 8-fold cross-validations. Performance values are exclusively calcul...
Performance comparison between multiple prediction strategies, for prediction of aromatase inhibitor...
<p>The SEPT9 assay performance prediction based on equivalent plasma volume in PCR reaction.</p
Performance comparison of AutoEdge-CCP and other methods in novel drug associated cancers prediction...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>Comparative performance of existing method with our method developing for predicting inhibitors a...
Abstract Drug response prediction is important to establish personalized medicine for cancer therapy...
Information of the 95% and 80% prediction intervals of drug responses for 24 drugs.</p
<p>(a) A boxplot showing the predicted clinical bortezomib sensitivity for multiple myeloma patients...
<p>(A) Comparison of the overall target prediction accuracy based on the top hit, top five hits and ...
<p><b>(</b>A) Bar graph showing the prediction performance of five models using experimental data fr...
<p>Prediction performance of the 1234 drugs in different indication range (number of network drugs a...
Performance of two random forest models on validation set of 152 FDA-approved drugs as a function of...
<p>(A) Bar graph showing the prediction performance of six different models for 23 drugs tested in t...
<p>For each disease, the name of the predicted drug target obtained from MetaBase and the AUC perfor...
<p>Predictions are achieved with 8-fold cross-validations. Performance values are exclusively calcul...
Performance comparison between multiple prediction strategies, for prediction of aromatase inhibitor...
<p>The SEPT9 assay performance prediction based on equivalent plasma volume in PCR reaction.</p
Performance comparison of AutoEdge-CCP and other methods in novel drug associated cancers prediction...
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>Comparative performance of existing method with our method developing for predicting inhibitors a...
Abstract Drug response prediction is important to establish personalized medicine for cancer therapy...
Information of the 95% and 80% prediction intervals of drug responses for 24 drugs.</p
<p>(a) A boxplot showing the predicted clinical bortezomib sensitivity for multiple myeloma patients...
<p>(A) Comparison of the overall target prediction accuracy based on the top hit, top five hits and ...
<p><b>(</b>A) Bar graph showing the prediction performance of five models using experimental data fr...