Supplementary material 1 (ZIP 5046Â kb)

Performance metrics of models for predicting OS and EFS in Versteeg and Target cohorts. This spreadsheet lists the performance metrics of models trained from SEQC cohort. Models...

A spreadsheet file containing 3 sheets: (i) All statistics includes the patient, sample, and aliquot counts for each tumor and experiment type; (ii) Counts for each experiment...

Supplementary material 8 (XLS 25Â kb)

Supplementary material 3 (XLSX 21195Â kb)

The identified modules. We listed all the 46 modules identified with our proposed method. Each module includes both genes and microRNAs. (CSV 51 kb)

Supplementary material 7 (XLS 2018Â kb)

Supplementary material 6 (CYS 336Â kb)

Supplementary material 6 (XLS 3479 kb)

Supplementary material 10 (XLSX 39Â kb)

Supplementary material 9 (CYS 124Â kb)

Dataset-C with up to 9 duplicates against an original record. (CSV 90 kb)

Supplementary material 12 (XLSX 12Â kb)

Listing of features that have more chance to be selected by MTP EN in AML and PRAD datasets. (DOCX 29 kb)

List of the data sets used in this article. (XLSX 14739 kb)

R data analysis report 6. Clustering of samples into Community State Types (CSTs) based on Jenson-Shannon divergence. (HTML 2338 kb)

Additional file 1: Table S1. Description of the 37 conditions. This table describes the abbreviated names of experimental conditions as used in the paper and the control...

Supplementary material 5 (CYS 55Â kb)

“Using MultiDataSet with third party R packages”. This file illustrates how to perform an integration analysis using multivariate co-inertia analysis (omicade4) and clustering...

Supplementary material 7 (XLSX 25 kb)