Shown are 50 genes selected via stability selection. A list of 50 genes that are most frequently ranked highly by SVM-RFE, their brief descriptions and whether they have been identified as cancer driver genes. (XLSX 24 kb
List with PDAVs detected in 54âBC patients located in genes linked to (hereditary) cancer and/or h...
Table S1. Signatures summary. A summary of 33 signatures about the platforms derived from, the subty...
The results of prediction of known cancer genes for lung, breast and prostate cancer. (XLSX 13 kb
Breast cancer gene signature. The full list of 232 genes (probesets) and their ranks for the optimal...
Workflow of the modified SVM-RFE used for selecting a set of genes that discriminated between rapidl...
The file contains three sheets labelled Table S1 - S3. The tables list the genes that are currently ...
The relationship between the number of potential sites for a given type of mutations and the number ...
Genes with high expression variance used in pathway enrichment analysis. (PDF 23.5 kb
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Figure S5. Selection of Yin and Yang gens for different subtypes. The 220 common signature genes exp...
Background Establishing the cancer type and site of origin is important in determining the most app...
RNAi models. Excel table containing statistically significant predictive models found using the RNAi...
Figure S2. Percent of statistically significant predictive models identified in our analysis using e...
Table S2. Gene distribution among the signatures. A matrix with each of all signature genes against ...
Table S1. Systems-level properties of cancer genes. Table S2 List of 273 publications describing can...
List with PDAVs detected in 54âBC patients located in genes linked to (hereditary) cancer and/or h...
Table S1. Signatures summary. A summary of 33 signatures about the platforms derived from, the subty...
The results of prediction of known cancer genes for lung, breast and prostate cancer. (XLSX 13 kb
Breast cancer gene signature. The full list of 232 genes (probesets) and their ranks for the optimal...
Workflow of the modified SVM-RFE used for selecting a set of genes that discriminated between rapidl...
The file contains three sheets labelled Table S1 - S3. The tables list the genes that are currently ...
The relationship between the number of potential sites for a given type of mutations and the number ...
Genes with high expression variance used in pathway enrichment analysis. (PDF 23.5 kb
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Figure S5. Selection of Yin and Yang gens for different subtypes. The 220 common signature genes exp...
Background Establishing the cancer type and site of origin is important in determining the most app...
RNAi models. Excel table containing statistically significant predictive models found using the RNAi...
Figure S2. Percent of statistically significant predictive models identified in our analysis using e...
Table S2. Gene distribution among the signatures. A matrix with each of all signature genes against ...
Table S1. Systems-level properties of cancer genes. Table S2 List of 273 publications describing can...
List with PDAVs detected in 54âBC patients located in genes linked to (hereditary) cancer and/or h...
Table S1. Signatures summary. A summary of 33 signatures about the platforms derived from, the subty...
The results of prediction of known cancer genes for lung, breast and prostate cancer. (XLSX 13 kb
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