Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data.

Gene features selection for three-class disease classification via multiple orthogonal partial least square discriminant analysis and S-plot using microarray data.

MOTIVATION: DNA microarray analysis is characterized by obtaining a large number of gene variables from a small number of observations. Cluster analysis is widely used to analyze DNA microarray data to make classification and diagnosis of disease. Because there are so many irrelevant and insignifica...

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Bibliographic Details
Main Authors: Mingxing Yang, Xiumin Li, Zhibin Li, Zhimin Ou, Ming Liu, Suhuan Liu, Xuejun Li, Shuyu Yang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3875537?pdf=render

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http://europepmc.org/articles/PMC3875537?pdf=render

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