mgsa-package: Model-based gene set analysis
In sba1/mgsa-bioc: Model-based gene set analysis
Description
Author(s)
References
Description
Model-based Gene Set Analysis (MGSA) is a Bayesian modeling
approach for gene set enrichment. The package mgsa implements MGSA and
tools to use MGSA together with the Gene Ontology.
Author(s)
Sebastian Bauer Sebastian.Bauer@charite.de, Julien Gagneur julien.gagneur@embl.de
References
S. Bauer, J. Gagneur and P. N. Robinson. GOing Bayesian: model-based gene set analysis of genome-scale data. Nucleic acids research, 2010.
sba1/mgsa-bioc documentation built on May 20, 2021, 7:43 p.m.
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Description Author(s) References
Description
Model-based Gene Set Analysis (MGSA) is a Bayesian modeling approach for gene set enrichment. The package mgsa implements MGSA and tools to use MGSA together with the Gene Ontology.
Author(s)
Sebastian Bauer Sebastian.Bauer@charite.de, Julien Gagneur julien.gagneur@embl.de
References
S. Bauer, J. Gagneur and P. N. Robinson. GOing Bayesian: model-based gene set analysis of genome-scale data. Nucleic acids research, 2010.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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