Determining and analyzing differentially expressed genes from cDNA microarray experiments with complementary designs

DOI10.1016/j.jmva.2004.02.007zbMath1047.62101OpenAlexW2038774163MaRDI QIDQ1876972

Patrick Eichenberger, Erin M. Conlon, Jun S. Liu

Publication date: 16 August 2004

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2004.02.007

zbMATH Keywords

Scan statisticsMCMCBayesian modelscDNA microarraysFunctional categoryGene location cluster

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Genetics and population dynamics (92D99)

Uses Software

• R
• sma

Cites Work

• sma
• On some properties of the scan statistic on the circle and the line
• Monte Carlo strategies in scientific computing
• Unnamed Item
• Unnamed Item

This page was built for publication: Determining and analyzing differentially expressed genes from cDNA microarray experiments with complementary designs