R/csdR-package.R

#' @name csdR
#' @useDynLib csdR, .registration = TRUE
#' @importFrom Rcpp sourceCpp
#' @title Perform differential co-expression analysis
#' @description This package provides functionality
#' to perform differential co-expression
#' analysis by the CSD algorithm presented by Voigt et al. 2017.
#' The main function of the
#' package is \code{\link{run_csd}} which compares gene expression for two
#' conditions and returns values for C, S and D for each gene pair.
#' Also, the underlying
#' function \code{\link{run_cor_bootstrap}} is provided
#' for doing correlation analysis
#' \emph{within} a condition,
#' but is mostly for experimental and expect use only.
#'
#' The function \code{\link{partial_argsort}} is
#' aimed specifically at the task of
#' selecting the highest values of C, S and D
#' of the results with minimal computational overhead,
#' but is written also to be useable for other problems of the same type.
#'
#' For more details on how to approach, please read the
#' vignette for the package or the individual manpages for the functions.
#'
#' @references Voigt A, Nowick K and Almaas E
#' 'A composite network of conserved and tissue specific
#' gene interactions reveals possible genetic interactions in glioma'
#' In: \emph{PLOS Computational Biology} 13(9): e1005739.
#' (doi: \url{https://doi.org/10.1371/journal.pcbi.1005739})
#' @keywords internal
"_PACKAGE"
AlmaasLab/csdR documentation built on Dec. 9, 2022, 6:22 a.m.