Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks

DOI10.1016/j.stamet.2005.09.013zbMath1248.92024OpenAlexW2165554444WikidataQ57867068 ScholiaQ57867068MaRDI QIDQ713670

Tomoyuki Higuchi, Takao Goto, Seiya Imoto, Satoru Miyano

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2005.09.013

zbMATH Keywords

Bayesian networksmicroarray databiological knowledgeerror tolerant model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Systems biology, networks (92C42)

Related Items (3)

A new mixed MNP model accommodating a variety of dependent non-normal coefficient distributions ⋮ Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move ⋮ A mathematical program to refine gene regulatory networks

Uses Software

• KEGG
• REVEAL

Cites Work

• Unnamed Item
• Unnamed Item
• Modeling the complexity of genetic networks: Understanding multigenic and pleiotropic regulation.
• A practical guide to splines
• Bootstrap methods: another look at the jackknife
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Selection of smoothing parameters in \(B\)-spline nonparametric regression models using information criteria
• Accurate Approximations for Posterior Moments and Marginal Densities
• Approximate predictive likelihood
• Bayesian information criteria and smoothing parameter selection in radial basis function networks
• Bootstrap confidence levels for phylogenetic trees

This page was built for publication: Error tolerant model for incorporating biological knowledge with expression data in estimating gene networks