title: A robust Correntropy-based method for analyzing multisample aCGH data.
abstract: 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.
authors.affiliation: Department of Computer Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.
authors.forename: Majid
authors.initials: M
authors.lastname: Mohammadi
authors.affiliation: Department of Electrical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran. Electronic address: hodtani@um.ac.ir.
authors.forename: Ghosheh Abed
authors.initials: GA
authors.lastname: Hodtani
authors.affiliation: Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad, Iran; Laboratory of Cancer Genetics Research, Reza Radiation Oncology Center, Mashhad, Iran.
authors.forename: Maryam
authors.initials: M
authors.lastname: Yassi
mesh_terms: D000465:Algorithms; D000818:Animals; D055028:Comparative Genomic Hybridization / Q000379:methods*; D056915:DNA Copy Number Variations; D023281:Genomics / Q000379:methods; D006801:Humans
keywords: Cancer; Correntropy; DNA copy number; Half-Quadratic programming; aCGH