Supplementary material for ”Joint modelling of ChIP-seq data via a Markov random field model”
نویسندگان
چکیده
Supplementary material for ”Joint modelling of ChIP-seq data via a Markov random field model” YANCHUN BAO, VERONICA VINCIOTTI1,∗, ERNST WIT and PETER ’T HOEN School of Information Systems, Computing and Mathematics, Brunel University, UK Institute of Mathematics and Computing Science, University of Groningen, Groningen, The Netherlands Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands Netherlands Bioinformatics Centre, The Netherlands [email protected] In Section 1 we provide more details about the posterior distributions and the MCMC implementation of the Markov random field model (MRF). In Section 2, we present a comparison between MRF, a classical hidden Markov model and an Ising model. In Section 3, we provide additional results.
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