FAStGGM statistics

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Citations per year

Number of citations per year for the bioinformatics software tool FAStGGM
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FAStGGM specifications

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Unique identifier OMICS_22917
Name FAStGGM
Alternative name Fast Gaussian Graphical Model
Software type Package/Module
Interface Command line interface
Restrictions to use None
Output data Matrices of precision and partial correlation as well as the corresponding p-value and confidence interval for every pair of variables (for FastGGM and FastGGM parallel) and vectors of precision, partial correlation, p-value, and confidence interval for the specified variable pairs (for FastGGM pairs).
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Wei Chen
  • person_outline Wei Chen
  • person_outline Zhao Ren
  • person_outline Ting Wang

Publication for Fast Gaussian Graphical Model

FAStGGM citation

library_books

NetDiff – Bayesian model selection for differential gene regulatory network inference

2016
Sci Rep
PMCID: 5159802
PMID: 27982083
DOI: 10.1038/srep39224

[…] hod described was implemented as a package for the R Statistical Computing Environment and is available from https://gitlab.com/tt104/NetDiff. In benchmarking the method we also apply the GeneNet and FastGGM R packages. […]


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FAStGGM institution(s)
Division of Pulmonary Medicine, Allergy and Immunology; Department of Pediatrics, Children’s Hospital of Pittsburgh of UPMC, University of Pittsburgh, Pittsburgh, PA, USA; Department of Statistics, University of Pittsburgh, Pittsburgh, PA, USA; Department of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA; VISN 4 Mental Illness Research, Education and Clinical Center (MIRECC), VA Pittsburgh Healthcare System, Pittsburgh, PA, USA; Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
FAStGGM funding source(s)
Supported by grants MH16804, AG05133 (RAS), AG027224, VAPHS grant BX000542, UPMC Competitive Medical Research Fund and HG007358.

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