Latent rank change detection for analysis of splice-junction microarrays with nonlinear effects

DOI10.1214/10-AOAS389zbMath1220.62134arXiv1104.3016OpenAlexW2012841853WikidataQ36538871 ScholiaQ36538871MaRDI QIDQ542489

Lee Ann Zarzabal, Suzanne Burns, Mari Sogayar, Tarea Burton, Luiz O. F. Penalva, Jonathan A. Gelfond

Publication date: 10 June 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1104.3016

zbMATH Keywords

microarrayalternative splicinggene expression analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Uses Software

• ANOSVA
• MADS

Cites Work

• Statistical significance for genomewide studies
• Experimental design for gene expression microarrays

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