Integrating quantitative information from ChIP-chip experiments into motif finding

DOI10.1093/BIOSTATISTICS/KXM014zbMath1274.62875OpenAlexW2120858259WikidataQ38301318 ScholiaQ38301318MaRDI QIDQ3634569

Heejung Shim

Publication date: 25 June 2009

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxm014

zbMATH Keywords

prior modelsChIP-chip dataconditional mixture modelspiecewise constant linear regressionregulatory motif findingtiling microarrays

Mathematics Subject Classification ID

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

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A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP‐Chip Data

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