Covariance-based analyses of biological pathways

• 成果类型: Article
• 署名作者: Danaher, P.; Paul, D.; Wang, P.
• 署名单位: NanoString Technologies; University of California System; University of California Davis; Icahn School of Medicine at Mount Sinai
• 刊物名称: BIOMETRIKA
• ISSN/ISSBN: 0006-3444
• DOI: 10.1093/biomet/asv013
• 发表日期: 2015
• 页码: 533544
• 关键词: Principal component analysis; gene set enrichment; matrices; asymptotics; survival; EQUALITY; tests

摘要

The use of high-throughput data to study the changing behaviour of biological pathways has focused mainly on examining the changes in the means of pathway genes. In this paper, we propose instead to test for changes in the co-regulated and unregulated variability of pathway genes. We assume that the eigenvalues of previously defined pathways capture biologically relevant quantities, and we develop a test for biologically meaningful changes in the eigenvalues between classes. This test reflects important and often ignored aspects of pathway behaviour and provides a useful complement to traditional pathway analyses.