MRHMMs specifications


Unique identifier OMICS_27214
Alternative name Multivariate Regression Hidden Markov Models and the variantS
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C
Computer skills Advanced
Version 2.0
Stability Stable
Maintained Yes




No version available


  • person_outline Debashis Ghosh
  • person_outline Yu Zhang

Publication for Multivariate Regression Hidden Markov Models and the variantS

MRHMMs citation


Regression hidden Markov modeling reveals heterogeneous gene expression regulation: a case study in mouse embryonic stem cells

BMC Genomics
PMCID: 4144088
PMID: 24884369
DOI: 10.1186/1471-2164-15-360

[…] included all the genes regardless of their distances, and we allowed the potential spatial relation between genes using the non-homogeneous transition probability, with D=4000 in Eq (1). The program MRHMMs [] is used for analysis.We assumed the Markov property based on the idea that genes in proximity may be related to their similar expression levels []. In our data set, the gene expression level […]

MRHMMs institution(s)
Department of Statistics, Penn State University, University Park, PA, USA; Department of Biochemistry and Molecular Biology, Penn State University, University Park, PA, USA
MRHMMs funding source(s)
Supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through grants UL1TR000127 and NSF ABI1262538.

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