A random effect model for reconstruction of spatial chromatin structure

DOI10.1111/biom.12544zbMath1366.62237OpenAlexW2400255398WikidataQ39744022 ScholiaQ39744022MaRDI QIDQ5347402

Jincheol Park, Shili Lin

Publication date: 23 May 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12544

zbMATH Keywords

loopingHi-C data3D architecturecorrelation between countsPoisson Random effect Architecture Model (PRAM)random effect modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Related Items (1)

An empirical Bayes approach for the identification of long-range chromosomal interaction from Hi-C data

Uses Software

• BaySeq
• BayesDA
• MDM

Cites Work

• A Bayesian mixture model for chromatin interaction data
• Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
• Contemporary Bayesian Econometrics and Statistics

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