Robust and stable feature selection by integrating ranking methods and wrapper technique in genetic data classification
- 1 April 2014
- journal article
- Published by Elsevier BV in Biochemical and Biophysical Research Communications
- Vol. 446 (4), 850-856
- https://doi.org/10.1016/j.bbrc.2014.02.146
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Feature selection based on cluster and variability analyses for ordinal multi-class classification problemsKnowledge-Based Systems, 2013
- A Two-Stage Feature Selection Method for Gene Expression DataOMICS: A Journal of Integrative Biology, 2009
- A review of feature selection techniques in bioinformaticsBioinformatics, 2007
- Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experimentsFEBS Letters, 2004
- Fast branch & bound algorithms for optimal feature selectionIeee Transactions On Pattern Analysis and Machine Intelligence, 2004
- Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learningNature Medicine, 2002
- Prediction of central nervous system embryonal tumour outcome based on gene expressionNature, 2002
- An Efficient and Robust Statistical Modeling Approach to Discover Differentially Expressed Genes Using Genomic Expression ProfilesGenome Research, 2001
- Analysis of Variance for Gene Expression Microarray DataJournal of Computational Biology, 2000
- A Practical Approach to Feature SelectionPublished by Elsevier BV ,1992