Table S1. Phenotypic and clinical information about the collection of 1273 colorectal cancer samples that has been integrated in this work. The table includes the IDs of the samples in GEO and all the available data about age, gender, survival time, location of the tumor, degree and TNM staging, presence of mutation in some cancer genes (TP53, KRAS, BRAF), etc. When information was not available for a given sample the table includes NA (not available values). (XLSX 272 kb
Summary of colon cancer microarray datasets used in the study. Table S2. Identified significant modu...
Table S1. Characteristics of the colorectal cancer patients analyzed in this study. Table S2. The pr...
Table S1. Characteristics of patients included in analyses. Table S2. Concordance between detection ...
Table S3. Top-100 best survival marker genes for colorectal cancer (CRC) that are down-regulated whe...
Table S2. Top-100 best survival marker genes for colorectal cancer (CRC) that are up-regulated when ...
Table S4. Validation of the survival data done in an independent set of samples taken from The Cance...
Figure S1. Survival multivariate analysis of an independent set of 482 samples of CRC patients carri...
Figure S2. Comparison of the distributions of the expression signal corresponding to ten genes in 25...
Table S5. Beta factors assigned by regression analysis to each of the top-100 survival marker genes....
Table S1. Sequencing parameters for 3 samples with the highest and 3 samples with the lowest sequenc...
Table S4. Statistics from fitting regression models with subtype (scores) to outcome variables (MSI,...
Additional file 1: Supplement Fig. 1. Survival curves for patients with different risk score accordi...
Table S2. Average loading vectors used to assign continuous subtype scores. For each continuous scor...
Table S1. All the differential genes analyzed using RNAseq shown in the attached excel file. (XLS 90...
Table S3. Detailed measurement of cell viability in therapeutic screening against HCT116 and HT29 ce...
Summary of colon cancer microarray datasets used in the study. Table S2. Identified significant modu...
Table S1. Characteristics of the colorectal cancer patients analyzed in this study. Table S2. The pr...
Table S1. Characteristics of patients included in analyses. Table S2. Concordance between detection ...
Table S3. Top-100 best survival marker genes for colorectal cancer (CRC) that are down-regulated whe...
Table S2. Top-100 best survival marker genes for colorectal cancer (CRC) that are up-regulated when ...
Table S4. Validation of the survival data done in an independent set of samples taken from The Cance...
Figure S1. Survival multivariate analysis of an independent set of 482 samples of CRC patients carri...
Figure S2. Comparison of the distributions of the expression signal corresponding to ten genes in 25...
Table S5. Beta factors assigned by regression analysis to each of the top-100 survival marker genes....
Table S1. Sequencing parameters for 3 samples with the highest and 3 samples with the lowest sequenc...
Table S4. Statistics from fitting regression models with subtype (scores) to outcome variables (MSI,...
Additional file 1: Supplement Fig. 1. Survival curves for patients with different risk score accordi...
Table S2. Average loading vectors used to assign continuous subtype scores. For each continuous scor...
Table S1. All the differential genes analyzed using RNAseq shown in the attached excel file. (XLS 90...
Table S3. Detailed measurement of cell viability in therapeutic screening against HCT116 and HT29 ce...
Summary of colon cancer microarray datasets used in the study. Table S2. Identified significant modu...
Table S1. Characteristics of the colorectal cancer patients analyzed in this study. Table S2. The pr...
Table S1. Characteristics of patients included in analyses. Table S2. Concordance between detection ...