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ISBRA
2007
Springer
11 years 11 months ago
Noise-Based Feature Perturbation as a Selection Method for Microarray Data
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identiļ¬cation of genes that are diļ¬€erentiall...
Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
IJON
2006
99views more  IJON 2006»
11 years 5 months ago
Feature selection in independent component subspace for microarray data classification
A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
Chun-Hou Zheng, De-Shuang Huang, Li Shang
AUSAI
2007
Springer
11 years 9 months ago
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
Peter J. Tan, David L. Dowe, Trevor I. Dix
BMCBI
2005
118views more  BMCBI 2005»
11 years 5 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
BMCBI
2004
205views more  BMCBI 2004»
11 years 5 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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