Background correction for cDNA microarray images using the TV+L1 model | Zendy

Wotao Yin | Zendy; T. Chen | Zendy; Shutang Zhou | Zendy; Arindam Chakraborty | Zendy

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Background correction for cDNA microarray images using the TV+L1 model

Author(s) -

Wotao Yin,

T. Chen,

Shutang Zhou,

Arindam Chakraborty

Publication year - 2005

Publication title -

computer applications in the biosciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1460-2059

pISSN - 0266-7061

DOI - 10.1093/bioinformatics/bti341

Subject(s) - computer science , complementary dna , microarray , computational biology , software , microarray analysis techniques , artificial intelligence , data mining , biology , genetics , gene , gene expression , programming language

Background correction is an important preprocess in cDNA microarray data analysis. A variety of methods have been used for this purpose. However, many kinds of backgrounds, especially inhomogeneous ones, cannot be estimated correctly using any of the existing methods. In this paper, we propose the use of the TV+L1 model, which minimizes the total variation (TV) of the image subject to an L1-fidelity term, to correct background bias. We demonstrate its advantages over the existing methods by both analytically discussing its properties and numerically comparing it with morphological opening.

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