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A robust Correntropy-based method for analyzing multisample aCGH data
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DOI：10.1016/j.ygeno.2015.07.008.png)
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This paper presents a new method for analyzing array comparative genomic hybridization (aCGH) data based on Correntropy. A new formulation based on low-rank aCGH data and Correntropy is proposed and its solution is presented based on Half-Quadratic method. Compared to existing methods, the proposed method is more robust to high corruptions and various kinds of noise. Moreover, it analyzes all aCGH profiles relating to a data set simultaneously. Experimental results illustrate the robustness of the proposed method when the noise is non-Gaussian and show its excellent performance in other cases. (C) 2015 Elsevier Inc. All rights reserved.
Keyword:
Cancer
DNA copy number
aCGH
Correntropy
Half-Quadratic programming
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