Gene selection using genetic algorithm and support vectors machines
Authors:
- 22 January 2008
- journal article
- Published by Springer Nature in Soft Computing
- Vol. 12 (7) , 693-698
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression dataBMC Bioinformatics, 2005
- MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATAJournal of Bioinformatics and Computational Biology, 2005
- A rank sum test method for informative gene discovery2004
- Boosting for tumor classification with gene expression dataBioinformatics, 2003
- IMPROVED GENE SELECTION FOR CLASSIFICATION OF MICROARRAYS2002
- Gene Selection for Cancer Classification using Support Vector MachinesMachine Learning, 2002
- Class discovery in gene expression data2001
- Tissue Classification with Gene Expression ProfilesJournal of Computational Biology, 2000
- Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression MonitoringScience, 1999
- Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arraysProceedings of the National Academy of Sciences, 1999