A Comparative Analysis of Swarm Intelligence Techniques for Feature Selection in Cancer Classification

Microarray gene expression classification with few genes: Criteria to combine attribute selection and classification methods

(2012) Carlos J. Alonso-González et al.   EXPERT SYSTEMS WITH APPLICATIONS

Microarray-based cancer prediction using single genes

(2011) Xiaosheng Wang et al.   BMC BIOINFORMATICS

Gene selection and classification using Taguchi chaotic binary particle swarm optimization

(2011) Li-Yeh Chuang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gene expression data classification based on improved semi-supervised local Fisher discriminant analysis

(2011) Hong Huang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recipe for uncovering predictive genes using support vector machines based on model population analysis

(2011) Hong-Dong Li et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

A Top-r Feature Selection Algorithm for Microarray Gene Expression Data

(2011) S. Imoto et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

An efficient statistical feature selection approach for classification of gene expression data

(2011) B. Chandra et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Optimization Based Tumor Classification from Microarray Gene Expression Data

(2011) Onur Dagliyan et al.   PLoS One

Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm

(2010) Emmanuel Martinez et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classification

(2010) P. Maji   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Ensemble gene selection for cancer classification

(2010) Huawen Liu et al.   PATTERN RECOGNITION

Improving Cancer Classification Accuracy Using Gene Pairs

(2010) Pankaj Chopra et al.   PLoS One

Accurate molecular classification of cancer using simple rules

(2009) Xiaosheng Wang et al.   BMC Medical Genomics