#' The scfind main class object
#'
#' @export
setClass("SCFind",
representation(
index = "ANY", #Index is type of Rcpp_EliasFanoDB but this removes the warning
datasets = "character",
serialized = "raw",
metadata = "list"
))
#'
#' @export
setGeneric(name = "buildCellTypeIndex",
def = function(sce,
dataset.name = '',
assay.name = 'logcounts',
cell.type.label = 'cell_type1',
qb = 2)
{
standardGeneric("buildCellTypeIndex")
})
#' @export
setGeneric(name = "mergeDataset", def = function(object, new.object) {
standardGeneric("mergeDataset")
})
#' @export
setGeneric(name = "mergeSCE", def = function(object, sce, dataset.name) {
standardGeneric("mergeSCE")
})
#' queries cells that contain all the genes from the list
#' @export
setGeneric(name = "findCellTypes", function(object, gene.list, datasets) {
standardGeneric("findCellTypes")
})
#' return all the gene markers for a specified cell.type
#'
#' @export
#'
setGeneric(name = "cellTypeMarkers" , function(object,
cell.types,
background.cell.types,
top.k = 5,
sort.field = 'f1'
){
standardGeneric("cellTypeMarkers")
})
#' @export
#'
setGeneric(name = "cellTypeNames", function(object, datasets){
standardGeneric("cellTypeNames")
})
#' @export
#'
setGeneric(name = "evaluateMarkers", function(object,
gene.list,
cell.types,
background.cell.types,
sort.field = 'f1'){
standardGeneric("evaluateMarkers")
})
#' @export
setGeneric(name = "scfindShiny", function(object) {
standardGeneric("scfindShiny")
})
#' Generic to be used instead of readRDS
#' @export
setGeneric(name = "loadObject", function(filename){
standardGeneric("loadObject")
})
#' Generic to be used instead of saveRDS
#'
#' @export
setGeneric(name = "saveObject", function(object, file){
standardGeneric("saveObject")
})
#' @export
setGeneric(name = "hyperQueryCellTypes", function(object,
gene.list,
datasets){
standardGeneric("hyperQueryCellTypes")
})
#' Performs query optimization and return the best candidate gene sets
#'
#' @export
setGeneric(name = "markerGenes", function(object, gene.list, datasets, exhaustive = FALSE, support.cutoff = -1)
{
standardGeneric("markerGenes")
})
#' @export
setGeneric(name = "scfindGenes", function(object){
standardGeneric("scfindGenes")
})
#' Find out how many cell-types each gene is found
#'
#' @export
setGeneric(name = "findCellTypeSpecificities", function(object,
gene.list,
datasets,
min.cells = 10,
min.fraction = .25){
standardGeneric("findCellTypeSpecificities")
})
#' Find out how many tissues each gene is found
#'
#' @export
setGeneric(name = "findTissueSpecificities", function(object,
gene.list,
min.cells = 10){
standardGeneric("findTissueSpecificities")
})
#' Find the set of genes that are ubiquitously expressed in a query of cell types
#'
#' @export
setGeneric(name = "findHouseKeepingGenes", function(object,
cell.types,
min.recall = .5,
max.genes = 1000){
standardGeneric("findHouseKeepingGenes")
})
#' Find the signature genes for a cell-type
#'
#' @export
setGeneric(name = "findGeneSignatures", function(object,
cell.types,
max.genes = 1000,
min.cells = 10,
max.pval = 0){
standardGeneric("findGeneSignatures")
})
#' Look at all other genes and rank them based on the similarity of their expression pattern to the pattern defined by the gene query
#'
#' @export
setGeneric(name = "findSimilarGenes", function(object, gene.list, datasets, top.k = 5){
standardGeneric("findSimilarGenes")
})
#' @export
setGeneric(name = "scfindShinyServer", function(object){
standardGeneric("scfindShinyServer")
})
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