Refining cellular pathway models using an ensemble of heterogeneous data sources

DOI10.1214/16-AOAS915zbMath1405.62174arXiv1406.5799OpenAlexW2295110112MaRDI QIDQ1620980

Florian Markowetz, Alexander M. Franks, Edoardo M. Airoldi

Publication date: 15 November 2018

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

Full work available at URL: https://arxiv.org/abs/1406.5799

zbMATH Keywords

Bayesian inferencemulti-level modelingregulation and signaling dynamicsstatistical network analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Uses Software

• R
• Bioconductor
• KEGG
• BioGRID
• Pfam
• SPINE

Cites Work

• A weakly informative default prior distribution for logistic and other regression models
• Reconstructing evolving signalling networks by hidden Markov nested effects models
• Structure Learning in Nested Effects Models
• Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge
• Research in Computational Molecular Biology

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