Multivariate approach for selecting sets of differentially expressed genes

DOI10.1016/S0025-5564(01)00105-5zbMath0996.92021OpenAlexW2050159724WikidataQ52045598 ScholiaQ52045598MaRDI QIDQ1602586

R. Smith

Publication date: 23 June 2002

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

Full work available at URL: https://doi.org/10.1016/s0025-5564(01)00105-5

zbMATH Keywords

simulation studyMahalanobis distancecDNA microarray data

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Genetics and epigenetics (92D10)

Related Items (4)

Discrimination and scoring using small sets of genes for two-sample microarray data ⋮ A NOTE ON CLASSIFICATION OF GENE EXPRESSION DATA USING SUPPORT VECTOR MACHINES ⋮ Nonparametric analysis of replicated microarray experiments ⋮ Variable selection and pattern recognition with gene expression data generated by the microarray technology

Cites Work

• Extracting information from cDNA arrays
• Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
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