Cancer outlier analysis based on mixture modeling of gene expression data

DOI10.1155/2013/693901zbMath1275.92019DBLPjournals/cmmm/MoriONM13OpenAlexW2143239605WikidataQ30629641 ScholiaQ30629641MaRDI QIDQ382658

Shigeyuki Matsui, Keita Mori, Tomonori Oura, Hisashi Noma

Publication date: 21 November 2013

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/693901

Mathematics Subject Classification ID

Medical applications (general) (92C50) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Cites Work

• Outlier sums for differential gene expression analysis
• MOST: detecting cancer differential gene expression
• Finite mixture models
• Cancer outlier differential gene expression detection

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