Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering | Zendy

Daniel Bozinov | Zendy; Jörg Rahnenführer | Zendy

Open Access

Unsupervised technique for robust target separation and analysis of DNA microarray spots through adaptive pixel clustering

Author(s) -

Daniel Bozinov,

Jörg Rahnenführer

Publication year - 2002

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/18.5.747

Subject(s) - cluster analysis , spots , computer science , pixel , artificial intelligence , pattern recognition (psychology) , dna microarray , microarray , data mining , computational biology , biology , gene , genetics , gene expression , botany

Microarray images challenge existing analytical methods in many ways given that gene spots are often comprised of characteristic imperfections. Irregular contours, donut shapes, artifacts, and low or heterogeneous expression impair corresponding values for red and green intensities as well as their ratio R/G. New approaches are needed to ensure accurate data extraction from these images.

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