High-throughput Phenotyping of Lung Cancer Somatic Mutations
Abstract
Recent genome sequencing efforts have identified millions of somatic mutations in cancer. However, the functional impact of most variants is poorly understood. Here we characterize 194 somatic mutations identified in primary lung adenocarcinomas. We present an expression-based variant-impact phenotyping (eVIP) method that uses gene expression changes to distinguish impactful from neutral somatic mutations. eVIP identified 69% of mutations...
Paper Details
Title
High-throughput Phenotyping of Lung Cancer Somatic Mutations
Published Date
Aug 1, 2016
Journal
Volume
30
Issue
2
Pages
214 - 228
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