Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data
<p>Abstract</p> <p>Background</p> <p>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 gene expression-based tissue classification while improving accuracy...
Main Authors: | Chetty Madhu, Ooi Chia, Teng Shyh |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2006-06-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/7/320 |
Similar Items
-
Characteristics of predictor sets found using differential prioritization
by: Chetty Madhu, et al.
Published: (2007-06-01) -
Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems
by: Besse Philippe, et al.
Published: (2011-06-01) -
Improved Measures of Redundancy and Relevance for mRMR Feature Selection
by: Insik Jo, et al.
Published: (2019-05-01) -
Ensemble Fuzzy Feature Selection Based on Relevancy, Redundancy, and Dependency Criteria
by: Omar A. M. Salem, et al.
Published: (2020-07-01) -
Relevant and Non-Redundant Feature Selection for Cancer Classification and Subtype Detection
by: Pratip Rana, et al.
Published: (2021-08-01)