2026-10-13T04:05:42Z https://www.scidb.cn/oai

10.57760/sciencedb.09354 2024-09-25T10:59:13Z

2024-09-25 GDC TCGA cancer datasets for GenMorw doi:10.57760/sciencedb.09354 en We downloaded and organized 33 cancer data from GDC TCGA via the UCSC Xena platform (https://xena.ucsc.edu/) for input into our GenMorw algorithm. Users can decompress the files and place them in the 'Cancer Data' folder within the GitHub repository to obtain prioritization of driver gene predictions.It comprises 33 directories (GDC_CANCER), along with a methylation annotation file (illuminaMethyl450_hg38_GDC) and a gene coding annotation file (gencode.v22.annotation.gene.probeMap).Each directory includes a download information file (informations.tsv), cancer patient phenotypes (TCGA-CANCER.GDC_phenotype.tsv.gz), copy number variation (TCGA-CANCER.gistic.tsv.gz), gene expression (TCGA-CANCER.htseq_fpkm.tsv.gz), methylation (TCGA-CANCER.methylation450.tsv.gz), miRNA (TCGA-CANCER.mirna.tsv.gz), gene mutation data (TCGA-CANCER.mutect2_snv.tsv.gz), and patient survival data (TCGA-CANCER.survival.tsv). cancer; driver gene; multiomics; UCSC; xena platform; TCGA Liu Jian PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank