A robust aCGH data recovery framework based on half quadratic minimization

Abstract

This paper presents a general half quadratic framework for simultaneous analysis of the whole array comparative genomic hybridization (aCGH) profiles in a data set. The proposed framework accommodates different M-estimation loss functions and two underlying assumptions for aCGH profiles of a data set: sparsity and low rank. Using M-estimation loss functions… (More)
DOI: 10.1016/j.compbiomed.2015.12.026

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