TCGA
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
Cell Reports. Volume 23, Issue 1 p239-254.e6, 3 April 2018 10.1016/j.celrep.2018.03.076
An Integrated TCGA Pan-Cancer Clinical Data Resource to drive high quality survival outcome analytics
Cell. Volume 173 Issue 2: p400-416.e11, 5 April 2018 10.1016/j.cell.2018.02.052
Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context
Cell Reports. Volume 23, Issue 1 p297-312.e12, 3 April 2018 10.1016/j.celrep.2018.03.064
Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
Cell. Volume 173 Issue 2: p338-354.e15, 5 April 2018 10.1016/j.cell.2018.03.034
Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
Cell. Volume 173 Issue 2: p291–304.e6, 5 April 2018 10.1016/j.cell.2018.03.022
Comprehensive Characterization of Cancer Driver Genes and Mutations
Cell. Volume 173, Issue 2 p371-385.e18, 5 April 2018 10.1016/j.cell.2018.02.060
Genomic and Functional Approaches to Understanding Cancer Aneuploidy
Cancer Cell. 33 p1-14, 2 April 2018 10.1016/j.ccell.2018.03.007
PanCanAtlas Publications
The Pan-Cancer Atlas (PanCanAtlas) initiative aims to answer big, overarching questions about cancer by examining the full set of tumors characterized in the robust TCGA dataset.