CNGPLD: case–control copy-number analysis using Gaussian process latent difference
Abstract
Cross-sectional analyses of primary cancer genomes have identified regions of recurrent somatic copy-number alteration, many of which result from positive selection during cancer formation and contain driver genes. However, no effective approach exists for identifying genomic loci under significantly different degrees of selection in cancers of different subtypes, anatomic sites or disease stages.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 17, 2022
- Source ID
- 10.1093/bioinformatics/btac096
Entities
People
- David J. H. Shih
- Kim-anh Do
- Peter Müller
- Ruoxing Li
- Scott L. Carter
- Shiaw-Yih Lin
- W. Jim Zheng
Organizations
- Canadian Institutes of Health Research
- Cancer Prevention and Research Institute of Texas
- Dana–Farber Cancer Institute
- Harvard University
- National Cancer Institute
- National Institutes of Health
- United States Department of Defense
- University of Texas Health Science Center at Houston
- University of Texas at Austin