FAStGGM statistics

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FAStGGM specifications

Information


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 in publication

PMCID: 5159802
PMID: 27982083
DOI: 10.1038/srep39224

[…] 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., the genenet r package was used to simulate partial correlations between sets of variables of varying sizes, and to generate observations of the variables under these network […]


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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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