R/MIGSAPackage.R

In MIGSA: Massive and Integrative Gene Set Analysis

#' MIGSA package
#'
#' 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.
#'
#' @docType package
#' @name MIGSAPackage
#' @author Juan C. Rodriguez \email{jcrodriguez@@bdmg.com.ar}, Cristobal Fresno
#' \email{cfresno@@bdmg.com.ar}, Andrea S. Llera \email{allera@@leloir.org.ar}
#' and Elmer A. Fernandez \email{efernandez@@bdmg.com.ar}
#' @keywords Functional Analysis
#' @references
#' \enumerate{
#' \item 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.
#' }
#' @import methods
#' @import BiocGenerics
NULL
# #'@return inDevelopment this value will be used in other R files to check
# #'wether if we are in development or production.
# inDevelopment <- FALSE;