Nothing
#' @name GPrank-package
#' @docType package
#' @title GPrank - Gaussian Process ranking of multiple time series
#' @description GPrank package implements our Gaussian-process-based ranking method,
#' which can be used to rank multiple time series according to their temporal activity
#' levels. GPrank incorporates available variance information on the observations
#' into the GP models and achieves a higher performance than the standard GP-based
#' ranking methods.
#'
#' @details
#' \tabular{ll}{
#' Package: \tab GPrank\cr
#' Type: \tab Package\cr
#' Version: \tab 0.1.2\cr
#' Date: \tab 2016-12-21\cr
#' License: \tab MIT\cr
#' }
#' Details regarding the usage of the package can be found in the vignette.
#'
#' @author Hande Topa, Antti Honkela
#'
#' Maintainer: Hande Topa \email{hande.topa@@helsinki.fi}
#'
#' @references
#' Hande Topa, Agnes Jonas, Robert Kofler, Carolin Kosiol, Antti Honkela.
#' Gaussian process test for high-throughput sequencing time series: application to experimental evolution.
#' \emph{Bioinformatics} 31(11):1762-1770, \bold{2015}.
#'
#' Hande Topa, Antti Honkela.
#' Analysis of differential splicing suggests different modes of short-term splicing regulation.
#' \emph{Bioinformatics} 32(12):i147-i155, \bold{2016}.
#'
#' @keywords package
#'
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.