MOST: detecting cancer differential gene expression

DOI10.1093/biostatistics/kxm042zbMath1143.62084arXiv0709.1307OpenAlexW2158017189WikidataQ51899376 ScholiaQ51899376MaRDI QIDQ3526170

Heng Lian

Publication date: 25 September 2008

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0709.1307

zbMATH Keywords

microarrayCOPA

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Testing in survival analysis and censored data (62N03)

Related Items (3)

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

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