The Analysis of Gene Expression Data: An Overview of Methods and Software
- 1 January 2003
- book chapter
- Published by Springer Nature
Abstract
No abstract availableKeywords
This publication has 99 references indexed in Scilit:
- A Direct Approach to False Discovery RatesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2002
- Computational analysis of microarray dataNature Reviews Genetics, 2001
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- Analysis of Variance for Gene Expression Microarray DataJournal of Computational Biology, 2000
- Coupled two-way clustering analysis of gene microarray dataProceedings of the National Academy of Sciences, 2000
- Systematic variation in gene expression patterns in human cancer cell linesNature Genetics, 2000
- Distinct types of diffuse large B-cell lymphoma identified by gene expression profilingNature, 2000
- Flexible Discriminant Analysis by Optimal ScoringJournal of the American Statistical Association, 1994
- Self-organized formation of topologically correct feature mapsBiological Cybernetics, 1982
- Algorithm AS 136: A K-Means Clustering AlgorithmJournal of the Royal Statistical Society Series C: Applied Statistics, 1979