importGeneSets.R

#' @title Imports gene sets from a GMT file
#' @description Converts a list of gene sets stored in a GMT file into a
#' \linkS4class{GeneSetCollection} and stores it in the metadata of the
#' \linkS4class{SingleCellExperiment} object. These gene sets can be used in
#' downstream quality control and analysis functions in \link{singleCellTK}.
#' @param inSCE Input \linkS4class{SingleCellExperiment} object.
#' @param file Character. Path to GMT file. See \link{getGmt} for
#' more information on reading GMT files.
#' @param collectionName Character. Name of collection to add gene sets to.
#' If this collection already exists in \code{inSCE}, then these gene sets will
#' be added to that collection. Any gene sets within the collection with the
#' same name will be overwritten. Default \code{GeneSetCollection}.
#' @param by Character, character vector, or NULL. Describes the
#' location within \code{inSCE} where the gene identifiers in
#' \code{geneSetList} should be mapped. If set to \code{"rownames"} then the
#' features will be searched for among \code{rownames(inSCE)}. This can also be
#' set to one of the column names of \code{rowData(inSCE)} in which case the
#' gene identifies will be mapped to that column in the \code{rowData}
#' of \code{inSCE}. \code{by} can be a vector the same length as
#' the number of gene sets in the GMT file and the elements of the vector
#' can point to different locations within \code{inSCE}. Finally, \code{by}
#' can be \code{NULL}. In this case, the location of the gene identifiers
#' in \code{inSCE} should be saved in the description (2nd column)
#' of the GMT file. See \link{featureIndex} for more information.
#' Default \code{"rownames"}.
#' @param sep Character. Delimiter of the GMT file. Default \code{"\t"}.
#' @param noMatchError Boolean. Show an error if a collection does not have
#' any matching features. Default \code{TRUE}.
#' @details The gene identifiers in gene sets in the GMT file will be
#' mapped to the rownames of \code{inSCE} using the \code{by} parameter and
#' stored in a \linkS4class{GeneSetCollection} object from package
#' \link{GSEABase}. This object is stored in
#' \code{metadata(inSCE)$sctk$genesets}, which can be accessed in downstream
#' analysis functions such as \link[singleCellTK]{runCellQC}.
#' @author Joshua D. Campbell
#' @seealso \link{importGeneSetsFromList} for importing from lists,
#' \link{importGeneSetsFromCollection} for importing from
#' \linkS4class{GeneSetCollection} objects, and
#' \link{importGeneSetsFromMSigDB} for importing MSigDB gene sets.
#' @return A \link[SingleCellExperiment]{SingleCellExperiment} object
#'  with gene set from \code{collectionName} output stored to the
#'  \link{metadata} slot.
#' @examples
#' data(scExample)
#'
#' # GMT file containing gene symbols for a subset of human mitochondrial genes
#' gmt <- system.file("extdata/mito_subset.gmt", package = "singleCellTK")
#'
#' # "feature_name" is the second column in the GMT file, so the ids will
#' # be mapped using this column in the 'rowData' of 'sce'. This
#' # could also be accomplished by setting by = "feature_name" in the
#' # function call.
#' sce <- importGeneSetsFromGMT(inSCE = sce, file = gmt, by = NULL)
#' @export
importGeneSetsFromGMT <- function(inSCE, file,
                                  collectionName = "GeneSetCollection",
                                  by = "rownames",
                                  sep = "\t",
                                  noMatchError = TRUE) {

  # Read gmt file into GeneSetCollection
  gsc <- GSEABase::getGmt(con = file, sep = sep)

  inSCE <- importGeneSetsFromCollection(inSCE = inSCE,
                                        geneSetCollection = gsc,
                                        collectionName = collectionName,
                                        by = by,
                                        noMatchError = noMatchError)
  return(inSCE)
}


#' @title Imports gene sets from a list
#' @description Converts a list of gene sets into a
#' \linkS4class{GeneSetCollection} and stores it in the metadata of the
#' \linkS4class{SingleCellExperiment} object. These gene sets can be used in
#' downstream quality control and analysis functions in \link{singleCellTK}.
#' @param inSCE Input \linkS4class{SingleCellExperiment} object.
#' @param geneSetList Named List. A list containing one or more gene sets.
#' Each element of the list should be a character vector of gene identifiers.
#' The names of the list will be become the gene set names in the
#' \linkS4class{GeneSetCollection} object.
#' @param collectionName Character. Name of collection to add gene sets to.
#' If this collection already exists in \code{inSCE}, then these gene sets will
#' be added to that collection. Any gene sets within the collection with the
#' same name will be overwritten. Default \code{GeneSetCollection}.
#' @param by Character or character vector. Describes the
#' location within \code{inSCE} where the gene identifiers in
#' \code{geneSetList} should be mapped. If set to \code{"rownames"} then the
#' features will be searched for among \code{rownames(inSCE)}. This can also be
#' set to one of the column names of \code{rowData(inSCE)} in which case the
#' gene identifies will be mapped to that column in the \code{rowData}
#' of \code{inSCE}. Finally, \code{by} can be a vector the same length as
#' the number of gene sets in \code{geneSetList} and the elements of the vector
#' can point to different locations within \code{inSCE}. See
#' \link{featureIndex} for more information.
#' Default \code{"rownames"}.
#' @param noMatchError Boolean. Show an error if a collection does not have
#' any matching features. Default \code{TRUE}.
#' @return A \link[SingleCellExperiment]{SingleCellExperiment} object
#' with gene set from \code{collectionName} output stored to the
#' \link{metadata} slot.
#' @details The gene identifiers in gene sets in \code{geneSetList} will be
#' mapped to the rownames of \code{inSCE} using the \code{by} parameter and
#' stored in a \linkS4class{GeneSetCollection} object from package
#' \link{GSEABase}. This object is stored in
#' \code{metadata(inSCE)$sctk$genesets}, which can be accessed in downstream
#' analysis functions such as \link[singleCellTK]{runCellQC}.
#' @author Joshua D. Campbell
#' @seealso \link{importGeneSetsFromCollection} for importing from
#' \linkS4class{GeneSetCollection} objects,
#' \link{importGeneSetsFromGMT} for importing from GMT files, and
#' \link{importGeneSetsFromMSigDB} for importing MSigDB gene sets.
#' @examples
#' data(scExample)
#'
#' # Generate gene sets from 'rownames'
#' gs1 <- rownames(sce)[seq(10)]
#' gs2 <- rownames(sce)[seq(11,20)]
#' gs <- list("geneset1" = gs1, "geneset2" = gs2)
#' sce <- importGeneSetsFromList(inSCE = sce,
#'                               geneSetList = gs,
#'                               by = "rownames")
#'
#' # Generate a gene set for mitochondrial genes using
#' # Gene Symbols stored in 'rowData'
#' mito.ix <- grep("^MT-", rowData(sce)$feature_name)
#' mito <- list(mito = rowData(sce)$feature_name[mito.ix])
#' sce <- importGeneSetsFromList(inSCE = sce,
#'                              geneSetList = mito,
#'                              by = "feature_name")
#' @export
#' @importFrom SummarizedExperiment rowData
importGeneSetsFromList <- function(inSCE, geneSetList,
                                   collectionName = "GeneSetCollection",
                                   by = "rownames",
                                   noMatchError = TRUE) {

  # Check to ensure 'by' is correct
  if(!all(by %in% c("rownames", colnames(rowData(inSCE))))) {
    stop("The entries in 'by' must be 'rownames' or one of the column names ",
         "in the 'rowData(inSCE)': ", paste(colnames(rowData(inSCE)),
         collapse = ", "))
  }
  if(length(by) != 1 & length(by) != length(geneSetList)) {
    stop("'by' needs to be a character of length 1 describing the location ",
         "of all the gene sets in inSCE or a character vector the same ",
         "length as 'geneSetList' where each entry describes the location of ",
         "that particular gene set in 'geneSetList'.")
  }
  if(is.null(names(geneSetList))) {
    stop("'geneSetList' needs to be a named list.")
  }
  if(any(is.na(names(geneSetList)))) {
    stop("No names in 'geneSetList' can be 'NA'.")
  }

  # Convert to GeneSetCollection
  gs <- list()
  for(i in seq_along(geneSetList)) {
    gs[[i]] <- GSEABase::GeneSet(setName = names(geneSetList)[i],
                                 geneIds = geneSetList[[i]])
  }
  gsc <- GSEABase::GeneSetCollection(gs)

  inSCE <- importGeneSetsFromCollection(inSCE = inSCE,
                                        geneSetCollection = gsc,
                                        collectionName = collectionName,
                                        by = by,
                                        noMatchError = noMatchError)
  return(inSCE)
}

#' @title Imports gene sets from a GeneSetCollection object
#' @description Converts a list of gene sets stored in a
#' \linkS4class{GeneSetCollection} object and stores it in the metadata of the
#' \linkS4class{SingleCellExperiment} object. These gene sets can be used in
#' downstream quality control and analysis functions in \link{singleCellTK}.
#' @param inSCE Input \linkS4class{SingleCellExperiment} object.
#' @param geneSetCollection A \linkS4class{GeneSetCollection} object. See
#' \link{GeneSetCollection} for more details.
#' @param collectionName Character. Name of collection to add gene sets to.
#' If this collection already exists in \code{inSCE}, then these gene sets will
#' be added to that collection. Any gene sets within the collection with the
#' same name will be overwritten. Default \code{GeneSetCollection}.
#' @param by Character, character vector, or NULL. Describes the
#' location within \code{inSCE} where the gene identifiers in
#' \code{geneSetCollection} should be mapped. If set to \code{"rownames"} then the
#' features will be searched for among \code{rownames(inSCE)}. This can also be
#' set to one of the column names of \code{rowData(inSCE)} in which case the
#' gene identifies will be mapped to that column in the \code{rowData}
#' of \code{inSCE}. \code{by} can be a vector the same length as
#' the number of gene sets in the \code{GeneSetCollection} and the elements of the vector
#' can point to different locations within \code{inSCE}. Finally, \code{by}
#' can be \code{NULL}. In this case, the location of the gene identifiers
#' in \code{inSCE} should be saved in the description slot for each gene set
#' in the \code{GeneSetCollection}.
#' See \link{featureIndex} for more information.
#' Default \code{"rownames"}.
#' @param noMatchError Boolean. Show an error if a collection does not have
#' any matching features. Default \code{TRUE}.
#' @return A \link[SingleCellExperiment]{SingleCellExperiment} object
#' with gene set from \code{collectionName} output stored to the
#' \link{metadata} slot.
#' @details The gene identifiers in gene sets in the
#' \code{GeneSetCollection} will be mapped to the rownames of
#' \code{inSCE} using the \code{by} parameter and
#' stored in a \linkS4class{GeneSetCollection} object from package
#' \link{GSEABase}. This object is stored in
#' \code{metadata(inSCE)$sctk$genesets}, which can be accessed in downstream
#' analysis functions such as \link[singleCellTK]{runCellQC}.
#' @author Joshua D. Campbell
#' @seealso \link{importGeneSetsFromList} for importing from lists,
#' \link{importGeneSetsFromGMT} for importing from GMT files, and
#' \link{importGeneSetsFromMSigDB} for importing MSigDB gene sets.
#' @examples
#' data(scExample)
#' gs1 <- GSEABase::GeneSet(setName = "geneset1",
#'                          geneIds = rownames(sce)[seq(10)])
#' gs2 <- GSEABase::GeneSet(setName = "geneset2",
#'                          geneIds = rownames(sce)[seq(11,20)])
#' gsc <- GSEABase::GeneSetCollection(list(gs1, gs2))
#' sce <- importGeneSetsFromCollection(inSCE = sce,
#'                                     geneSetCollection = gsc,
#'                                     by = "rownames")
#' @export
importGeneSetsFromCollection <- function(inSCE, geneSetCollection,
                                         collectionName = "GeneSetCollection",
                                         by = "rownames",
                                         noMatchError = TRUE) {

  # If 'by' is NULL, then the location will be derived from the description
  if(is.null(by)) {
    location <- unlist(lapply(seq_along(geneSetCollection),
                   function(i) GSEABase::description(geneSetCollection[[i]])))
  } else {
    if(length(by) != 1 & length(by) != length(geneSetCollection)) {
      stop("If not NULL, then 'by' needs to be a character of ",
           "length 1 describing the location ",
           "of all the gene sets in inSCE or a character vector the same ",
           "length as 'geneSetList' where each entry describes the location of ",
           "that particular gene set in 'geneSetList'.")
    }

    if(length(by) == 1) {
      location <- rep(by, length(geneSetCollection))
    } else {
      location <- by
    }
  }

  # Check to ensure 'by' matches annotation in SCE
  if(!all(location %in% c("rownames", colnames(rowData(inSCE))))) {
    stop("The entries in 'by' must be 'rownames' or one of the column names ",
         "in the 'rowData(inSCE)': ", paste(colnames(rowData(inSCE)),
                                            collapse = ", "))
  }

  gs <- list()
  for(i in seq_along(geneSetCollection)) {

    temp.gs <- featureIndex(
      features = GSEABase::geneIds(geneSetCollection[[i]]),
      inSCE = inSCE,
      by = location[i],
      exactMatch = TRUE,
      removeNA = TRUE,
      errorOnNoMatch = FALSE,
      warningOnPartialMatch = FALSE)
    if(length(temp.gs) > 0) {
      gs.new <- geneSetCollection[[i]]
      GSEABase::geneIds(gs.new) <- rownames(inSCE)[temp.gs]
      gs <- c(gs, gs.new)
    }
  }

  if(length(gs) == 0 & isTRUE(noMatchError)) {
    stop("No gene sets could be imported. This is either because the no
         overlapping genes were identified between the gene sets and the input
         data or different types of identifiers are used between the two.
         Please check if the gene identifiers of both gene sets and input
         data belong to same type.")
  } else if(length(gs) > 0) {
    # Add GeneSetCollection back to metadata
    new.gsc <- GSEABase::GeneSetCollection(gs)
    old.gsc <- NULL
    if(!is.null(S4Vectors::metadata(inSCE)$sctk$genesets)) {
      if(collectionName %in% names(S4Vectors::metadata(inSCE)$sctk$genesets)) {
        old.gsc <- S4Vectors::metadata(inSCE)$sctk$genesets[[collectionName]]
      }
    }
    
    if(!is.null(old.gsc)) {
      # Remove any old gene sets with same name as new gene sets
      old.gsc <- old.gsc[!(names(old.gsc) %in% names(new.gsc))]
      
      # Combine old and new GeneSetCollections and save back to metadata
      S4Vectors::metadata(inSCE)$sctk$genesets[[collectionName]] <-
        GSEABase::GeneSetCollection(c(old.gsc, new.gsc))
    } else {
      S4Vectors::metadata(inSCE)$sctk$genesets[[collectionName]] <- new.gsc
    }
  }

  
  return(inSCE)
}



#' @title Imports gene sets from MSigDB
#' @description Gets a list of MSigDB gene sets stores it in the metadata of the
#' \linkS4class{SingleCellExperiment} object. These gene sets can be used in
#' downstream quality control and analysis functions in \link{singleCellTK}.
#' @param inSCE Input \linkS4class{SingleCellExperiment} object.
#' @param categoryIDs Character vector containing the MSigDB gene set ids.
#' The column \code{ID} in the table returned by \code{getMSigDBTable()} shows
#' the list of possible gene set IDs that can be obtained.
#' @param species Character. Species available can be found using the function
#' \code{\link[msigdbr]{msigdbr_show_species}}. Default \code{"Homo sapiens"}.
#' @param mapping Character. One of "gene_symbol", "human_gene_symbol", or
#' "entrez_gene". Gene identifiers to be used for MSigDB gene sets. IDs
#' denoted by the \code{by} parameter must be either in gene symbol or
#' Entrez gene id format to match IDs from MSigDB.
#' @param by Character. Describes the
#' location within \code{inSCE} where the gene identifiers in
#' the MSigDB gene sets should be mapped. If set to \code{"rownames"} then the
#' features will be searched for among \code{rownames(inSCE)}. This can also be
#' set to one of the column names of \code{rowData(inSCE)} in which case the
#' gene identifies will be mapped to that column in the \code{rowData}
#' of \code{inSCE}. See \link{featureIndex} for more information.
#' Default \code{"rownames"}.
#' @param verbose Boolean. Whether to display progress. Default \code{TRUE}.
#' @param noMatchError Boolean. Show an error if a collection does not have
#' any matching features. Default \code{TRUE}.
#' @return A \link[SingleCellExperiment]{SingleCellExperiment} object
#' with gene set from \code{collectionName} output stored to the
#' \link{metadata} slot.
#' @details The gene identifiers in gene sets from MSigDB will be retrieved
#' using the \code{\link{msigdbr}} package. They will be mapped to the IDs in
#' \code{inSCE} using the \code{by} parameter and
#' stored in a \linkS4class{GeneSetCollection} object from package
#' \link{GSEABase}. This object is stored in
#' \code{metadata(inSCE)$sctk$genesets}, which can be accessed in downstream
#' analysis functions such as \link[singleCellTK]{runCellQC}.
#' @author Joshua D. Campbell
#' @seealso \link{importGeneSetsFromList} for importing from lists,
#' \link{importGeneSetsFromGMT} for importing from GMT files, and
# \link{importGeneSetsFromCollection} for importing from
#' \linkS4class{GeneSetCollection} objects.
#' @examples
#' data(scExample)
#' sce <- importGeneSetsFromMSigDB(inSCE = sce,
#'                                 categoryIDs = "H",
#'                                 species = "Homo sapiens",
#'                                 mapping = "gene_symbol",
#'                                 by = "feature_name")
#' @export
#' @importFrom SummarizedExperiment rowData
importGeneSetsFromMSigDB <- function(inSCE, categoryIDs,
                                     species = "Homo sapiens",
                                     mapping = c("gene_symbol",
                                            "human_gene_symbol",
                                            "entrez_gene"),
                                     by = "rownames",
                                     verbose = TRUE,
                                     noMatchError = TRUE) {

  mapping <- match.arg(mapping)

  # Check species
  all.species <- msigdbr::msigdbr_species()$species_name
  if(!(species %in% all.species)) {
    stop("'species' needs to be one of the following: ",
         paste(all.species, collapse = ", "))
  }
  # Check to ensure 'by' matches annotation in SCE
  if(is.null(by) || length(by) > 1) {
    stop("'by' must a character of length 1.")
  }
  if(!(by %in% c("rownames", colnames(rowData(inSCE))))) {
    stop("'by' must be 'rownames' or one of the column names ",
         "in the 'rowData(inSCE)': ", paste(colnames(rowData(inSCE)),
                                            collapse = ", "))
  }

  msigdb_table <- getMSigDBTable()
  if(!all(categoryIDs %in% msigdb_table$ID)) {
    diff <- setdiff(categoryIDs, msigdb_table$ID)
    stop("Category IDs not found in MSigDB: ", paste(diff, collapse = ", "),
         ". Valid IDs can be found in the table returned by the function ",
         "getMSigDBTable().")
  }

  rownames(msigdb_table) <- msigdb_table$ID
  gs.list <- list()
  for(i in seq_along(categoryIDs)) {

    category <- msigdb_table[categoryIDs[i],"Category"]
    subcat <- msigdb_table[categoryIDs[i],"Subcategory"]
    if(subcat == "N/A") {
      subcat <- NA
    }

    # Retrieve lists from msigdbr
    gs <- as.data.frame(msigdbr::msigdbr(species = species,
                    category = category,
                    subcategory = subcat))

    # Parse data.frame into list of GeneSets
    gs.names <- unique(gs$gs_name)
    num.gs.names <- length(gs.names)
    if(isTRUE(verbose)){
      p <- paste0(date(), " .. Importing '", categoryIDs[i],
                  "' gene sets (n = ", num.gs.names, ")")
      message(p)
    }

    for(j in seq_along(gs.names)) {
      gs.sub <- gs[gs$gs_name == gs.names[j],mapping]
      gs.list[[j]] <- GSEABase::GeneSet(setName = gs.names[j],
                        geneIds = unique(gs.sub),
                        collectionType = GSEABase::BroadCollection(
                          category = tolower(category),
                          subCategory = subcat))
      if(j %% 1000 == 0) {
        if(isTRUE(verbose)) {
          p <- paste0(date(), " .... Completed ", j, " out of ",
                      num.gs.names, " gene sets")
          message(p)
        }
      }
    }
    if(isTRUE(verbose)) {
      p <- paste0(date(), " .... Completed ", num.gs.names, " gene sets ",
                  "for ", i)
      message(p)
    }

    # Add to SCE
    if(isTRUE(verbose)) {
      p <- paste0(date(), " .. Matching gene sets to '", by, "'")
      message(p)
    }
    gsc <- GSEABase::GeneSetCollection(gs.list)
    inSCE <- importGeneSetsFromCollection(inSCE = inSCE,
                                          geneSetCollection = gsc,
                                          collectionName = categoryIDs[i],
                                          by = by,
                                          noMatchError = noMatchError)
  }

  return(inSCE)
}



#' @title Import mitochondrial gene sets
#' @description Imports mitochondrial gene sets and  stores it in the metadata of the
#' \linkS4class{SingleCellExperiment} object. These gene sets can be used in
#' downstream quality control and analysis functions in \link{singleCellTK}.
#' @param inSCE Input \linkS4class{SingleCellExperiment} object.
#' @param reference Character. Species available are "human" and "mouse".
#' @param by Character. Describes the location within \code{inSCE} where the gene
#' identifiers in the mitochondrial gene sets should be mapped.
#' If set to \code{"rownames"} then the features will
#' be searched for among \code{rownames(inSCE)}. This can also be
#' set to one of the column names of \code{rowData(inSCE)} in which case the
#' gene identifies will be mapped to that column in the \code{rowData}
#' of \code{inSCE}. See \link{featureIndex} for more information.
#' Default \code{"rownames"}.
#' @param id Types of gene id. Now it supports "symbol", "entrez", "ensembl"
#' and "ensemblTranscriptID".
#' @param collectionName Character. Name of collection to add gene sets to.
#' If this collection already exists in \code{inSCE}, then these gene sets will
#' be added to that collection. Any gene sets within the collection with the
#' same name will be overwritten. Default \code{"mito"}.
#' @param noMatchError Boolean. Show an error if a collection does not have
#' any matching features. Default \code{TRUE}.
#' @return A \link[SingleCellExperiment]{SingleCellExperiment} object
#' with gene set from \code{collectionName} output stored to the
#' \link{metadata} slot.
#' @details The gene identifiers of mitochondrial genes will be loaded with
#' "data(AllMito)". Currently, it supports human and mouse references.
#' Also, it supports entrez ID, gene symbol, ensemble ID and ensemble transcript ID.
#' They will be mapped to the IDs in \code{inSCE} using the \code{by} parameter and
#' stored in a \linkS4class{GeneSetCollection} object from package
#' \link{GSEABase}. This object is stored in
#' \code{metadata(inSCE)$sctk$genesets}, which can be accessed in downstream
#' analysis functions such as \link[singleCellTK]{runCellQC}.
#' @author Rui Hong
#' @seealso \link{importGeneSetsFromList} for importing from lists,
#' \link{importGeneSetsFromGMT} for importing from GMT files, and
# \link{importGeneSetsFromCollection} for importing from
#' \linkS4class{GeneSetCollection} objects.
#' @examples
#' data(scExample)
#' sce <- importMitoGeneSet(inSCE = sce,
#'                          reference = "human",
#'                          id = "ensembl",
#'                          collectionName = "human_mito",
#'                          by = "rownames")
#' @export
importMitoGeneSet <- function(inSCE, reference = "human", id = "ensembl",
                              by = "rownames", collectionName = "mito",
                              noMatchError = TRUE) {

  if (!id %in% c("symbol", "entrez", "ensembl", "ensemblTranscriptID")) {
    stop("`id` should be one of 'symbol', 'entrez', 'ensembl' or 'ensemblTranscriptID'")
  }

  reference <- tolower(reference)
  if (!reference %in% c("human", "mouse")) {
    stop("Now it only supports 'human' and 'mouse' reference.")
  }

  MitoGenes <- NULL
  utils::data(MitoGenes, envir = environment())
  target <- paste(reference, id, sep="_")
  if (!target %in% names(MitoGenes)) {
    stop(target, " is not supported now. Please use function 'importGeneSetsFromGMT' or 'importGeneSetsFromList' to load mitochondrial gene sets.")
  }

  mitogenes <- MitoGenes[[target]]
  names(mitogenes) <- collectionName
  inSCE <- importGeneSetsFromList(inSCE = inSCE, geneSetList = mitogenes,
                                  collectionName = collectionName,
                                  by = by,
                                  noMatchError = noMatchError)
  return(inSCE)
}

#' @title Lists imported GeneSetCollections
#' @description Returns a vector of GeneSetCollections that have been
#' imported and stored in \code{metadata(inSCE)$sctk$genesets}.
#' @param inSCE A \link[SingleCellExperiment]{SingleCellExperiment} object.
#' @return Character vector.
#' @author Joshua D. Campbell
#' @seealso \link{importGeneSetsFromList} for importing from lists,
#' \link{importGeneSetsFromGMT} for importing from GMT files,
# \link{importGeneSetsFromCollection} for importing from
#' \linkS4class{GeneSetCollection} objects, and \link{importGeneSetsFromMSigDB}
#' for importing MSigDB gene sets.
#' @examples
#' data(scExample)
#' gs1 <- GSEABase::GeneSet(setName = "geneset1",
#'                          geneIds = rownames(sce)[seq(10)])
#' gs2 <- GSEABase::GeneSet(setName = "geneset2",
#'                          geneIds = rownames(sce)[seq(11,20)])
#' gsc1 <- GSEABase::GeneSetCollection(gs1)
#' gsc2 <- GSEABase::GeneSetCollection(gs2)
#' sce <- importGeneSetsFromCollection(inSCE = sce,
#'                                     geneSetCollection = gsc1,
#'                                     by = "rownames",
#'                                     collectionName = "Collection1")
#' sce <- importGeneSetsFromCollection(inSCE = sce,
#'                                     geneSetCollection = gsc2,
#'                                     by = "rownames",
#'                                     collectionName = "Collection2")
#' collections <- sctkListGeneSetCollections(sce)
#' @export
sctkListGeneSetCollections <- function(inSCE) {
  if(!is.null(S4Vectors::metadata(inSCE)$sctk$genesets)) {
    res <- names(S4Vectors::metadata(inSCE)$sctk$genesets)
  } else {
    res <- character()
  }
  return(res)
}

#' @title Shows MSigDB categories
#' @description Returns a data.frame that shows MSigDB categories and
#' subcategories as well as descriptions for each. The entries in the ID
#' column in this table can be used as input for \link{importGeneSetsFromMSigDB}.
#' @return data.frame, containing MSigDB categories
#' @author Joshua D. Campbell
#' @seealso \link{importGeneSetsFromMSigDB} for importing MSigDB gene sets.
#' @export
#' @examples
#' getMSigDBTable()
getMSigDBTable <- function() {
  # Issues for getting this to pass R CMD Check:
  # https://support.bioconductor.org/p/24756/#24768
  # https://groups.google.com/forum/#!topic/cambridge-r-user-group/c7vf8o3QwDo
  msigdb_table <- NULL
  rm(msigdb_table)
  utils::data(msigdb_table)
  return(msigdb_table)
}


.retrieveGeneSetCollection <- function(inSCE, collectionName) {
  if(!is.null(S4Vectors::metadata(inSCE)$sctk$genesets)) {
    if(collectionName %in% names(S4Vectors::metadata(inSCE)$sctk$genesets)) {
      gsc <- S4Vectors::metadata(inSCE)$sctk$genesets[[collectionName]]
    } else {
      stop("No GeneSetCollection called '", collectionName, "' was found. ",
           "The GeneSetColletions that are available include: ",
           paste(names(S4Vectors::metadata(inSCE)$sctk$genesets),
                 collapse = ", "))
    }
  } else {
    stop("No GeneSetCollections have been imported.")
  }
  return(gsc)
}