A Bayesian nonparametric mixture model for selecting genes and gene subnetworks

DOI10.1214/14-AOAS719zbMath1454.62429arXiv1407.8399OpenAlexW3106134091WikidataQ40710098 ScholiaQ40710098MaRDI QIDQ400643

Tianwei Yu, Jian Kang, Yize Zhao

Publication date: 22 August 2014

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

Full work available at URL: https://arxiv.org/abs/1407.8399

zbMATH Keywords

density estimationfeature selectionDirichlet process mixturemicroarray dataIsing priors

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

A Bayesian nonparametric mixture model for selecting genes and gene subnetworks ⋮ A spatial Bayesian semiparametric mixture model for positive definite matrices with applications in diffusion tensor imaging

Uses Software

• Pathway Commons

Cites Work

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