Open AccessExploring drivers of gene expression in the Cancer Genome Atlas
Author(s) -
Andréa Rau,
Michael J. Flister,
Hallgeir Rui,
Paul L. Auer
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty551
Subject(s) - biology , web application , computational biology , gene , gene expression profiling , computer science , gene expression , genetics , world wide web
The Cancer Genome Atlas (TCGA) has greatly advanced cancer research by generating, curating and publicly releasing deeply measured molecular data from thousands of tumor samples. In particular, gene expression measures, both within and across cancer types, have been used to determine the genes and proteins that are active in tumor cells.
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