ncProR: Predicting Long non-coding RNA-Protein Interaction

#' A demo of sequence indices
#'
#' This data is an example of the input of \code{\link{formatSeq}}.
#'
#' @name demoIDX
#' @usage data(demoIDX)
#' @format A data frame containing the names of RNA and protein sequences.
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#' A demo of negative pairs
#'
#' This file contains 20 negative RNA-protein interaction pairs. Required by some examples.
#'
#' @name demoNegativeSeq
#' @usage data(demoNegativeSeq)
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#' A demo of positive pairs
#'
#' This file contains 20 positive RNA-protein interaction pairs. Required by some examples.
#'
#' @name demoPositiveSeq
#' @usage data(demoPositiveSeq)
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#' Retrained classifier of LncADeep method
#'
#' This file is required by function \code{\link{run_LncADeep}} to predict ncRNA-protein interaction.
#' Users don't need to load this file manually.
#'
#' @name mod_LncADeep
#' @usage data(mod_LncADeep)
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#' Retrained random forest classifier of lncPro method
#'
#' This file is required by function \code{\link{run_lncPro}} to predict ncRNA-protein interaction.
#' Users don't need to load this file manually.
#'
#' @name mod_lncPro
#' @usage data(mod_lncPro)
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#' Retrained random forest classifier of rpiCOOL method
#'
#' This file is required by function \code{\link{run_rpiCOOL}} to predict ncRNA-protein interaction.
#' Users don't need to load this file manually.
#'
#' @name mod_rpiCOOL
#' @usage data(mod_rpiCOOL)
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#' Retrained random forest classifier of RPISeq method
#'
#' This file is required by function \code{\link{run_RPISeq}} to predict ncRNA-protein interaction.
#' Users don't need to load this file manually.
#'
#' @name mod_RPISeq
#' @usage data(mod_RPISeq)
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#' Retrained random forest classifier of LION method
#'
#' This file is required by function \code{\link{run_LION}} to predict ncRNA-protein interaction.
#' Users don't need to load this file manually.
#'
#' @name mod_LION
#' @usage data(mod_LION)
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