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» Improved Gene Selection for Classification of Microarrays
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ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
13 years 5 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
BMCBI
2007
143views more  BMCBI 2007»
13 years 7 months ago
Gene selection for classification of microarray data based on the Bayes error
Background: With DNA microarray data, selecting a compact subset of discriminative genes from thousands of genes is a critical step for accurate classification of phenotypes for, ...
Ji-Gang Zhang, Hong-Wen Deng
BMCBI
2005
167views more  BMCBI 2005»
13 years 7 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
CSB
2005
IEEE
121views Bioinformatics» more  CSB 2005»
14 years 1 months ago
K-means+ Method for Improving Gene Selection for Classification of Microarray Data
Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon,...
PSB
2003
13 years 8 months ago
Improved Gene Selection for Classification of Microarrays
J. Jaeger, Rimli Sengupta, Walter L. Ruzzo