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ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
13 years 2 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
CSB
2005
IEEE
121views Bioinformatics» more  CSB 2005»
13 years 10 months ago
K-means+ Method for Improving Gene Selection for Classification of Microarray Data
Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon,...
BMCBI
2007
143views more  BMCBI 2007»
13 years 4 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
118views more  BMCBI 2005»
13 years 4 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken
KES
2006
Springer
13 years 4 months ago
Combined Gene Selection Methods for Microarray Data Analysis
In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment...
Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard