Molecular Diagnosis Of Human Cancer Type By Gene Expression Profiles And Independent Component Analysis

Xue Wu Zhang (1), Yee Leng Yap (2), Dong Wei (1), Feng Chen (1,3) and Antoine Danchin (4)

(1) College of Light Industry and Food Sciences, South China University of Technology, Guangzhou, China
(2) Department of Microbiology, The University of Hong Kong, Pokfulam, Hong Kong, China
(3) Department of Botany, The University of Hong Kong, Pokfulam, Hong Kong, China
(4) Genetics of Bacterial Genomes, Institut Pasteur, CNRS URA2171, Paris, France

The precise diagnosis of cancer type based on microarray data is of particular importance and is also a challenging task. The authors have devised a novel pattern recognition procedure based on independent component analysis (ICA). This is described in an article published in the European Journal of Human Genetics (Vol.13, pp. 1303-1311).

Correspondence:

Dr XW Zhang, College of Light Industry and Food Sciences, South China University of Technology, Wushan Road, Tianhe Area, Guangzhou 510641, China.
E-mail: snow_dance@sina.com

Abstract available online.

(C) European Journal of Human Genetics.

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