#' Get row-associated networks
#' @return List of adjacency matrices
#' @rdname rowNets
#' @export
setMethod("rowNets", "ACTIONetExperiment", function(object) {
out <- object@rowNets
out
})
#' Get column-associated networks
#' @return List of adjacency matrices
#' @rdname colNets
#' @export
setMethod("colNets", "ACTIONetExperiment", function(object) {
out <- object@colNets
out
})
#' Get row-associated factors
#' @return List of matrices
#' @rdname rowMaps
#' @export
setMethod("rowMaps", "ACTIONetExperiment", function(object, all = TRUE) {
out <- as(lapply(object@rowMaps, function(M) assays(M)[[1]]), "SimpleList")
if (all == FALSE & length(out) > 0) {
mask <- sapply(object@rowMaps, function(M) metadata(M)$type != "internal")
out <- out[mask]
}
out
})
#' Get column-associated factors
#' @return List of matrices
#' @rdname colMaps
#' @export
setMethod("colMaps", "ACTIONetExperiment", function(object, all = TRUE) {
out <- as(lapply(object@colMaps, function(M) assays(M)[[1]]), "SimpleList")
if (all == FALSE & length(out) > 0) {
mask <- sapply(object@colMaps, function(M) metadata(M)$type != "internal")
out <- out[mask]
}
out
})
#' Get row-associated factor types
#' @return List of types
#' @rdname rowMapTypes
#' @export
setMethod("rowMapTypes", "ACTIONetExperiment", function(object, all = TRUE) {
out <- lapply(object@rowMaps, function(M) metadata(M)$type)
if (all == FALSE & length(out) > 0) {
mask <- sapply(object@rowMaps, function(M) metadata(M)$type != "internal")
out <- out[mask]
}
out
})
#' Get column-associated factor types
#' @return List of types
#' @rdname colMapTypes
#' @export
setMethod("colMapTypes", "ACTIONetExperiment", function(object, all = TRUE) {
out <- lapply(object@colMaps, function(M) metadata(M)$type)
if (all == FALSE & length(out) > 0) {
mask <- sapply(object@colMaps, function(M) metadata(M)$type != "internal")
out <- out[mask]
}
out
})
#' Get row-associated factor metadata
#' @return List of types
#' @rdname rowMapTypes
#' @export
setMethod("rowMapMeta", "ACTIONetExperiment", function(object, all = TRUE) {
out <- lapply(object@rowMaps, function(M) colData(M))
if (all == FALSE & length(out) > 0) {
mask <- sapply(object@rowMaps, function(M) metadata(M)$type != "internal")
out <- out[mask]
}
out
})
#' Get column-associated factor metadata
#' @return List of types
#' @rdname colMapTypes
#' @export
setMethod("colMapMeta", "ACTIONetExperiment", function(object, all = TRUE) {
out <- lapply(object@colMaps, function(M) colData(M))
if (all == FALSE & length(out) > 0) {
mask <- sapply(object@colMaps, function(M) metadata(M)$type != "internal")
out <- out[mask]
}
out
})
setMethod("reducedDims", "ACTIONetExperiment", function(x) {
Xs <- colMaps(x)
Xs <- Xs[colMapTypes(x) %in% c("embedding", "reduction")]
# transposed_factors = as(lapply(Xs, function(xs) Matrix::t(xs)), 'SimpleList')
# return(transposed_factors)
return(Xs)
})
setMethod("reducedDimNames", "ACTIONetExperiment", function(x) {
Xs <- colMaps(x)
Xs <- Xs[colMapTypes(x) %in% c("embedding", "reduction")]
return(names(Xs))
})
#' @export
setMethod("rowEmbeddings", "ACTIONetExperiment", function(object) {
Xs <- rowMaps(object)
Xs <- Xs[rowMapTypes(object) %in% c("embedding")]
return(Xs)
})
#' @export
setMethod("colEmbeddings", "ACTIONetExperiment", function(object) {
Xs <- colMaps(object)
Xs <- Xs[colMapTypes(object) %in% c("embedding")]
return(Xs)
})
#' @export
setMethod("rowReductions", "ACTIONetExperiment", function(object) {
Maps <- rowMaps(object)
Maps <- Maps[rowMapTypes(object) %in% c("reduction")]
return(Maps)
})
#' @export
setMethod("colReductions", "ACTIONetExperiment", function(object) {
Maps <- colMaps(object)
Maps <- Maps[colMapTypes(object) %in% c("reduction")]
return(Maps)
})
#' @rdname sizeFactors
#' @importFrom SummarizedExperiment colData
#' @importFrom BiocGenerics sizeFactors
#' @export
setMethod("sizeFactors", "ACTIONetExperiment", function(object) {
output <- colData(object)[["sizeFactors"]]
output
})
#' @importFrom BiocGenerics counts
#' @export
setMethod("counts", "ACTIONetExperiment", function(object) {
(object)
SummarizedExperiment::assays(object)$counts
})
setMethod("logcounts", "ACTIONetExperiment", function(object) {
(object)
SummarizedExperiment::assays(object)$logcounts
})
setMethod("normcounts", "ACTIONetExperiment", function(object) {
(object)
SummarizedExperiment::assays(object)$normcounts
})
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