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DMIN
2006
98views Data Mining» more  DMIN 2006»
11 years 3 months ago
Feature Similarity Based Redundancy Reduction for Gene Selection
Xuezheng Fu, Feng Tan, Hao Wang, Yanqing Zhang, Ro...
BMCBI
2008
157views more  BMCBI 2008»
11 years 1 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
ICPR
2004
IEEE
12 years 2 months ago
Feature Selection and Gene Clustering from Gene Expression Data
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
D. Dutta Majumder, Pabitra Mitra
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
12 years 2 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
BMCBI
2006
126views more  BMCBI 2006»
11 years 1 months ago
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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