Journal
BIOSTATISTICS
Volume 9, Issue 1, Pages 18-29Publisher
OXFORD UNIV PRESS
DOI: 10.1093/biostatistics/kxm013
Keywords
DNA copy number; Signal detection
Funding
- NHLBI NIH HHS [N01-HV-28183] Funding Source: Medline
- DIVISION OF HEART AND VASCULAR DISEASES [N01HV028183] Funding Source: NIH RePORTER
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We apply the fused lasso regression method of Tibshirani and others (2004) to the problem of hotspot detection, in particular, detection of regions of gain or loss in comparative genomic hybridization (CGH) data. The fused lasso criterion leads to a convex optimization problem, and we provide a fast algorithm for its solution. Estimates of false-discovery rate are also provided. Our studies show that the new method generally outperforms competing methods for calling gains and losses in CGH data.
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