MIGSAPackage: MIGSA package
In MIGSA: Massive and Integrative Gene Set Analysis
Description
Author(s)
References
Description
The MIGSA package allows to perform a massive and integrative gene set
analysis over several expression and gene sets simultaneously. It provides a
common gene expression analytic framework that grants a comprehensive and
coherent analysis. Only a minimal user parameter setting is required to
perform both singular and gene set enrichment analyses in an integrative
manner by means of the best available methods, i.e. dEnricher and mGSZ
respectively.
The greatest strengths of this big omics data tool are the availability of
several functions to explore, analyze and visualize its results in order to
facilitate the data mining task over huge information sources.
MIGSA package also provides several functions that allow to easily load the
most updated gene sets from several repositories.
Author(s)
Juan C. Rodriguez jcrodriguez@bdmg.com.ar, Cristobal Fresno
cfresno@bdmg.com.ar, Andrea S. Llera allera@leloir.org.ar
and Elmer A. Fernandez efernandez@bdmg.com.ar
References
Rodriguez, J. C., Gonzalez, G. A., Fresno, C., Llera, A. S., &
Fernandez, E. A. (2016). Improving information retrieval in functional
analysis. Computers in Biology and Medicine, 79, 10-20.
MIGSA documentation built on Nov. 8, 2020, 8:26 p.m.
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Description Author(s) References
Description
The MIGSA package allows to perform a massive and integrative gene set analysis over several expression and gene sets simultaneously. It provides a common gene expression analytic framework that grants a comprehensive and coherent analysis. Only a minimal user parameter setting is required to perform both singular and gene set enrichment analyses in an integrative manner by means of the best available methods, i.e. dEnricher and mGSZ respectively. The greatest strengths of this big omics data tool are the availability of several functions to explore, analyze and visualize its results in order to facilitate the data mining task over huge information sources. MIGSA package also provides several functions that allow to easily load the most updated gene sets from several repositories.
Author(s)
Juan C. Rodriguez jcrodriguez@bdmg.com.ar, Cristobal Fresno cfresno@bdmg.com.ar, Andrea S. Llera allera@leloir.org.ar and Elmer A. Fernandez efernandez@bdmg.com.ar
References
Rodriguez, J. C., Gonzalez, G. A., Fresno, C., Llera, A. S., & Fernandez, E. A. (2016). Improving information retrieval in functional analysis. Computers in Biology and Medicine, 79, 10-20.
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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