A fully Bayesian hidden Ising model for ChIP-seq data analysis
Author:
Publisher
Oxford University Press (OUP)
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
http://academic.oup.com/biostatistics/article-pdf/13/1/113/17732950/kxr029.pdf
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1. Mixture model with multiple allocations for clustering spatially correlated observations in the analysis of ChIP-Seq data;Biometrical Journal;2017-06-30
2. Modelling ChIP-seq Data Using HMMs;Hidden Markov Models;2017
3. Template-Based Models for Genome-Wide Analysis of Next-Generation Sequencing Data at Base-Pair Resolution;Journal of the American Statistical Association;2016-07-02
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