Feature contribution analysis in our CNN model. Table S2. Results of simple co-occurrence-based method. Table S3. VarDrugPub and OncoKB comparison examples. Figure S1. Precision-Recall curves of our CNN classifier (Blue: Mutation-Gene, Red: Mutation-Drug). (DOCX 50 kb
Additional file 1: Figure S1. Annotation features examined as training variables in the machine lear...
Table S3. Random common variants matched by region to the pathogenic variants from Table S2. (XLSX 2...
Figure S4. Oncoprint showing a subset of mutations in OV. Line plots above the oncoprint shows the t...
Additional file 1: Figure S1. The workflow of patient selection. Figure S2. Learning and inference p...
Additional file 2: Includes 9 figures of additional results. The names of the figures are: Figure S1...
Supplementary text, table, and figures. Here we included explanation to Cohenâs Kappa, Table S1, T...
Table S1. Consensus sequence and gene rank correlation with case-control pairs using different metho...
Additional figures. Comparsion of the comprehensive classification performance metrics including ACC...
Relative frequencies of non-coding mutation contexts in different cancer types. (top panel) Three ca...
Figure S1. Binding preferences learnt by each individual neural network. Figure S2. Pearson correlat...
Table S1. Drug classes in DEPO (database of evidence for precision oncology). Table S2. Sensitive dr...
Additional figures. Comparison of the classification performances in three cancerous tissues. (PDF 5...
Log10 of total mutations per genome, ordered by median mutations within each tumour type. Figure S2:...
We have chosen 21 features from network-based measures and other functional data: (i) General featur...
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Additional file 1: Figure S1. Annotation features examined as training variables in the machine lear...
Table S3. Random common variants matched by region to the pathogenic variants from Table S2. (XLSX 2...
Figure S4. Oncoprint showing a subset of mutations in OV. Line plots above the oncoprint shows the t...
Additional file 1: Figure S1. The workflow of patient selection. Figure S2. Learning and inference p...
Additional file 2: Includes 9 figures of additional results. The names of the figures are: Figure S1...
Supplementary text, table, and figures. Here we included explanation to Cohenâs Kappa, Table S1, T...
Table S1. Consensus sequence and gene rank correlation with case-control pairs using different metho...
Additional figures. Comparsion of the comprehensive classification performance metrics including ACC...
Relative frequencies of non-coding mutation contexts in different cancer types. (top panel) Three ca...
Figure S1. Binding preferences learnt by each individual neural network. Figure S2. Pearson correlat...
Table S1. Drug classes in DEPO (database of evidence for precision oncology). Table S2. Sensitive dr...
Additional figures. Comparison of the classification performances in three cancerous tissues. (PDF 5...
Log10 of total mutations per genome, ordered by median mutations within each tumour type. Figure S2:...
We have chosen 21 features from network-based measures and other functional data: (i) General featur...
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Additional file 1: Figure S1. Annotation features examined as training variables in the machine lear...
Table S3. Random common variants matched by region to the pathogenic variants from Table S2. (XLSX 2...
Figure S4. Oncoprint showing a subset of mutations in OV. Line plots above the oncoprint shows the t...