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» A Theoretical Analysis of Gene Selection
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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 6 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
CEC
2005
IEEE
13 years 12 months ago
Theoretical analysis of generalised recombination
In this paper we propose, model theoretically and study a general notion of recombination for fixed-length strings where homologous crossover, inversion, gene duplication, gene d...
Riccardo Poli, Christopher R. Stephens
PR
2006
119views more  PR 2006»
13 years 6 months ago
Fuzzy Bayesian validation for cluster analysis of yeast cell-cycle data
Clustering for the analysis of the genes organizes the patterns into groups by the similarity of the dataset and has been used for identifying the functions of the genes in the cl...
Sung-Bae Cho, Si-Ho Yoo
BMCBI
2007
173views more  BMCBI 2007»
13 years 6 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...