More power via graph-structured tests for differential expression of gene networks

DOI10.1214/11-AOAS528zbMath1243.62080arXiv1206.6980MaRDI QIDQ439146

Laurent Jacob, Sandrine Dudoit, Pierre Neuvial

Publication date: 1 August 2012

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

Full work available at URL: https://arxiv.org/abs/1206.6980

zbMATH Keywords

dimensionality reductiontwo-sample testspectral graph theorybiological networksgraph Laplacianenrichment analysisHotelling T2pathways

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Applications of graph theory (05C90) Biochemistry, molecular biology (92C40) Systems biology, networks (92C42)

Related Items

A high-dimensional two-sample test for the mean using random subspaces, Tests for differential Gaussian Bayesian networks based on quadratic inference functions, Gaussian Bayesian network comparisons with graph ordering unknown, A Bayesian nonparametric mixture model for selecting genes and gene subnetworks, Comparing dependent undirected Gaussian networks, More power via graph-structured tests for differential expression of gene networks, A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices

Uses Software

• NCIgraph
• GOstat
• KEGG
• HotNet

Cites Work

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