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#' Ranking variables based on their stability
#'
#' Detecting all relevant variables from a data set is challenging, especially
#' when only few samples are available and data is noisy. Stability ranking
#' provides improved variable rankings of increased robustness using resampling
#' or subsampling.
#'
#' @name staRank-package
#' @aliases staRank
#' @docType package
#' @title Stability ranking
#' @author \email{juliane.siebourg@@bsse.ethz.ch}
#'
#' @example inst/example/staRank-example.R
#' @import methods cellHTS2
#' @keywords package
#'
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#' The package contains an RNAi screen on human cells under
#' Salmonella infection. Briefly, in HeLa cells all genes were knocked-down
#' individually by RNA interference. Subsequently cells were infected with
#' Salmonella. The cells were imaged with a microscope and from the images
#' several features were extracted
#' (for details see original paper (Misselwitz2011)).
#' This dataset contains normalized infection ratios. These are computed as
#' the logarithm of the fraction of infected cells per knock-down. Subsequently
#' they are z-scored per plate.
#' Duplicated genes were removed and also genes containing NA values.
#'
#' @name salmonellaInfection
#' @docType data
#' @title RNAi screen of human cells during Salmonella infection
#'
#' @usage salmonellaInfection
#' @format a numeric matrix of 6860 genes (rows) with 3 siRNA values each
#' (columns).
#' @references Misselwitz B. et al. (2011) \emph{RNAi screen of Salmonella
#' invasion shows role of COPI in membrane targeting of cholesterol and Cdc42.}
#' Molecular Systems Biology.
#'
#' @keywords datasets
#'
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#' The package contains the results of an example stability analysis for the
#' Salmonella infection dataset.
#' RankSummary objects were created for five base ranking methods on a subset
#' of the genes.
#'
#' @name salmonellaStability
#' @docType data
#' @title Example stability analysis on a subset of the Salmonella infection
#' dataset
#'
#' @usage salmonellaStability
#' @format a list of RankSummary objects that use different base ranking methods
#'
#' @keywords datasets
#'
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