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MCMC-SVR specifications


Unique identifier OMICS_28946
Alternative name Markov Chain Monte Carlo – Support Vector Regression
Software type Toolkit/Suite
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes


No version available


  • person_outline Wen-Han Yu

Publication for Markov Chain Monte Carlo – Support Vector Regression

MCMC-SVR citation


Exploiting glycan topography for computational design of Env glycoprotein antigenicity

PLoS Comput Biol
PMCID: 5931682
PMID: 29677181
DOI: 10.1371/journal.pcbi.1006093

[…] n, the directional weight (DW) was introduced and calculated: DW=p(xi)×dd={1ifcorr(Aby,Gxi)>0‑1otherwise(9) p(xi) denotes the probability of a sequon being a “determinant” which was obtained from the MCMC-SVR model and d represents a direction [1, –1] determined by the covariance matrix between individual glycan occupancy pattern versus the Ab fingerprint (). […]

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MCMC-SVR institution(s)
Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; Complex Carbohydrate Research Center, Department of Biochemistry and Molecular Biology, The University of Georgia, Athens, GA, USA; Institute for HIV Research, University Hospital Essen, University Duisburg-Essen, Essen, Germany; Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA, USA; Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA; Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
MCMC-SVR funding source(s)
Supported by Bill and Melinda Gates Foundation OPP1097381.

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