\title{Merge enrichment results obtained for different databases into one file per component.}
  mergeGostatsResults(resPath, GOstatsPath,
    rdata = "hgres", cutoffs = NULL, hgCutoff = 0.01,
    cond = TRUE, pathGenes)
  \item{resPath}{The global path where results of ICA
  analysis are written}

  \item{GOstatsPath}{The path within argument
  \code{resPath} where files will be written}

  \item{rdata}{The name of the rdata file containing the
  enrichment analysis of all components}

  \item{cutoffs}{The threshold(s) used to select genes used
  in enrichment analysis}

  \item{hgCutoff}{The p-value threshold}

  \item{cond}{A logical indicating whether the calculation
  has been conditioned on the GO structure, see

  \item{pathGenes}{The path where HTML files containing
  gene projections for each component are located}
  This function is internal and called by function
  \code{runEnrich}. It merges enrichment results obtained
  with either KEGG, GO, or both databases into one file.
  This function writes an HTML file per component,
  containing the outputs of the enrichment tests computed
  through the function \code{\link[Category]{hyperGTest}}.
  The results of the enrichment tests are loaded from .rda
  files located in
  The results obtained for the different
  databases/ontologies are then merged into an array for
  each component, this array is written as an HTML file in
  the directory
  \code{resPath(icaSet)}/\code{zvalCutoff(params)}. The
  arguments \code{hgCutoff} and \code{cond} have to be
  provided because they will be used in the file names of
  the resulting files.

  This function makes several important assumptions: only
  databases GO and KEGG have been tested, p-values are not
  available for gene sets that have not been selected as

  The outputs of \code{\link[Category]{hyperGTest}} that
  are given in each table are: \describe{ \item{DB, ID,
  Term}{The database, the gene set ID, and the gene set
  name,} \item{P-value}{probability of observing the number
  of genes annotated for the gene set among the selected
  gene list, knowing the total number of annotated genes
  among the universe}, \item{Expected counts}{expected
  number of genes in the selected gene list to be found at
  each tested category term/gene set,} \item{Odds
  ratio}{odds ratio for each category term tested which is
  an indicator of the level of enrichment of genes within
  the list as against the universe,} \item{Counts}{number
  of genes in the selected gene list which are annotated
  for the gene set,} \item{Size}{number of genes from the
  universe annotated for the gene set.}}
  Anne Biton