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doi.org/10.1016/j.cell.2018.02.060

Comprehensive Characterization of Cancer Driver Genes and Mutations

..., Li Ding
106
Cell64.50
Volume: 173, Issue: 2, Pages: 371 - 385.e18
Published: Apr 1, 2018
Abstract
Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) and using 26 computational tools to catalog driver genes and mutations. We identify 299 driver genes with...
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Paper Details
Title
Comprehensive Characterization of Cancer Driver Genes and Mutations
DOI
doi.org/10.1016/j.cell.2018.02.060
Published Date
Apr 1, 2018
Journal
Cell
Volume
173
Issue
2
Pages
371 - 385.e18
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