Discrimination and scoring using small sets of genes for two-sample microarray data

DOI10.1016/j.mbs.2006.08.007zbMath1108.62112OpenAlexW2066750602WikidataQ31074193 ScholiaQ31074193MaRDI QIDQ876057

Maja Olsson, Gilles Guillot, Mats Rudemo, Mikael Benson

Publication date: 16 April 2007

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2006.08.007

zbMATH Keywords

softwarecomputational methodsdiscriminationdifferential analysiscancer dataR packagecurse of dimensioneczemaexpression dataHotelling statisticsmall sets of genes

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Uses Software

• R
• affy
• Hot

Cites Work

• Unnamed Item
• Multivariate approach for selecting sets of differentially expressed genes
• Variable selection and pattern recognition with gene expression data generated by the microarray technology
• Finding predictive gene groups from microarray data
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Selection bias in gene extraction on the basis of microarray gene-expression data
• Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
• PLS Dimension Reduction for Classification with Microarray Data

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