Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data
Open Access
- 1 January 2005
- journal article
- research article
- Published by Springer Science and Business Media LLC in BMC Bioinformatics
- Vol. 6 (1), 239
- https://doi.org/10.1186/1471-2105-6-239
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- MADE4: an R package for multivariate analysis of gene expression dataBioinformatics, 2005
- Multi-class cancer classification by total principal component regression (TPCR) using microarray gene expression dataNucleic Acids Research, 2005
- Outcome signature genes in breast cancer: is there a unique set?Bioinformatics, 2004
- Extreme Value Distribution Based Gene Selection Criteria for Discriminant Microarray Data Analysis Using Logistic RegressionJournal of Computational Biology, 2004
- Optimization models for cancer classification: extracting gene interaction information from microarray expression dataBioinformatics, 2004
- Cell and tumor classification using gene expression data: Construction of forestsProceedings of the National Academy of Sciences of the United States of America, 2003
- A Classification-Based Machine Learning Approach for the Analysis of Genome-Wide Expression DataGenome Research, 2003
- Between-group analysis of microarray dataBioinformatics, 2002
- Diagnosis of multiple cancer types by shrunken centroids of gene expressionProceedings of the National Academy of Sciences of the United States of America, 2002
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression DataJournal of the American Statistical Association, 2002