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GSAR: Bioconductor package for Gene Set analysis in R.

Yasir RahmatallahBoris ZybailovFrank Emmert-StreibGalina Glazko
Published in: BMC bioinformatics (2017)
Package GSAR provides a set of multivariate non-parametric statistical methods that test a complex null hypothesis against specific alternatives. The methods in package GSAR are applicable to any type of omics data that can be represented in a matrix format. The package, with detailed instructions and examples, is freely available under the GPL (> = 2) license from the Bioconductor web site.
Keyphrases
  • single cell
  • data analysis
  • electronic health record
  • genome wide
  • copy number
  • gene expression
  • big data
  • machine learning
  • deep learning
  • dna methylation
  • genome wide identification