Cancer outlier differential gene expression detection

DOI10.1093/biostatistics/kxl029zbMath1121.62105OpenAlexW1986397115WikidataQ48428958 ScholiaQ48428958MaRDI QIDQ5308151

Baolin Wu

Publication date: 27 September 2007

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxl029

zbMATH Keywords

robustmicroarray\(t\)-statisticcancer outlier profile analysisdifferential gene expression detection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Genetics and epigenetics (92D10)

Related Items (7)

Multi-group cancer outlier differential gene expression detection ⋮ Generalized t‐statistic for two‐group classification ⋮ Statistical inferences based on outliers for gene expression analysis ⋮ Cancer outlier analysis based on mixture modeling of gene expression data ⋮ BOPA: A Bayesian hierarchical model for outlier expression detection ⋮ Genomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation ⋮ Use of pretransformation to cope with extreme values in important candidate features

Uses Software

• Bioconductor

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