Additional file 2: Table S1. Standard deviation of replicate affinity measurements (IC50/EC50/Ki/Kd) across different aggregation methods
Random forest feature selection for detecting adenomas. (A) Change in AUC with varying number of var...
Performance of two random forest models on validation set of 152 FDA-approved drugs as a function of...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
Abstract Measurements of protein–ligand interactions have reproducibility limits due to experimental...
Measurements of protein-ligand interactions have reproducibility limits due to experimental errors. ...
Datasets from biosciences/medicine. Additional file 2 presents the modified versions of Figs. 3, 5 a...
Results with tuned random forest (TRF). Additional file 4 shows the results of the comparison study...
Random forest usage in papers. A summary table of papers referencing random forest over a seven mont...
Figure S1 Overall success rate of the prediction of tumor types by random forests depending on (a) t...
Additional file 1: Appendix: Figure 1. Random forest algorithm for prediction. Figure 2. Decision tr...
Additional results of subgroup analyses. Additional file 1 extends Fig. 5 for all considered measure...
Data fusion has gained much attention in the field of life sciences, and this is because analysis of...
Table S2. All pairwise trait associations. The âDirectionâ column indicates whether a trait asso...
Random forest (RF) is a widely used machine learning method that shows competitive prediction perfor...
Microarray data are obtained from specific platforms and preprocessing using 24 different pipelines ...
Random forest feature selection for detecting adenomas. (A) Change in AUC with varying number of var...
Performance of two random forest models on validation set of 152 FDA-approved drugs as a function of...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
Abstract Measurements of protein–ligand interactions have reproducibility limits due to experimental...
Measurements of protein-ligand interactions have reproducibility limits due to experimental errors. ...
Datasets from biosciences/medicine. Additional file 2 presents the modified versions of Figs. 3, 5 a...
Results with tuned random forest (TRF). Additional file 4 shows the results of the comparison study...
Random forest usage in papers. A summary table of papers referencing random forest over a seven mont...
Figure S1 Overall success rate of the prediction of tumor types by random forests depending on (a) t...
Additional file 1: Appendix: Figure 1. Random forest algorithm for prediction. Figure 2. Decision tr...
Additional results of subgroup analyses. Additional file 1 extends Fig. 5 for all considered measure...
Data fusion has gained much attention in the field of life sciences, and this is because analysis of...
Table S2. All pairwise trait associations. The âDirectionâ column indicates whether a trait asso...
Random forest (RF) is a widely used machine learning method that shows competitive prediction perfor...
Microarray data are obtained from specific platforms and preprocessing using 24 different pipelines ...
Random forest feature selection for detecting adenomas. (A) Change in AUC with varying number of var...
Performance of two random forest models on validation set of 152 FDA-approved drugs as a function of...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
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