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8_functional_module_class.R
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8_functional_module_class.R
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#'An S4 class to represent enriched pathways
#' @docType class
#' @slot variable_info variable information contains marker information.
#' @slot enrichment_go_result ANY Object storing GO enrichment results.
#' @slot enrichment_kegg_result ANY Object storing KEGG enrichment results.
#' @slot enrichment_reactome_result ANY Object storing Reactome enrichment results.
#' @slot merged_pathway_go list List containing merged GO pathway information.
#' @slot merged_pathway_kegg list List containing merged KEGG pathway information.
#' @slot merged_pathway_reactome list List containing merged Reactome pathway information.
#' @slot merged_module list List containing merged modules.
#' @slot process_info list List containing information about the processes.
#'
#' @exportClass functional_module
setClass(
Class = "functional_module",
representation(
variable_info = "data.frame",
enrichment_go_result = "ANY",
enrichment_kegg_result = "ANY",
enrichment_reactome_result = "ANY",
merged_pathway_go = "list",
merged_pathway_kegg = "list",
merged_pathway_reactome = "list",
merged_module = "list",
process_info = "list"
)
)
# a validity method to enforce that `enrichment_go_result` is either a enrichResult, gseaResult or a NULL
setValidity("functional_module", function(object) {
if (!(
is(object@enrichment_go_result, "enrichResult") ||
is(object@enrichment_go_result, "gseaResult") ||
is.null(object@enrichment_go_result)
)) {
return(
"The 'enrichment_go_result' slot must be either a enrichResult, gseaResult or a NULL."
)
}
if (!(
is(object@enrichment_kegg_result, "enrichResult") ||
is(object@enrichment_kegg_result, "gseaResult") ||
is.null(object@enrichment_kegg_result)
)) {
return(
"The 'enrichment_kegg_result' slot must be either a enrichResult, gseaResult or a NULL."
)
}
if (!(
is(object@enrichment_reactome_result, "enrichResult") ||
is(object@enrichment_reactome_result, "gseaResult") ||
is.null(object@enrichment_reactome_result)
)) {
return(
"The 'enrichment_reactome_result' slot must be either a enrichResult, gseaResult or a NULL."
)
}
TRUE
})
setMethod(
f = "show",
signature = "functional_module",
definition = function(object) {
enrichment_go_result <-
try(object@enrichment_go_result, silent = TRUE)
enrichment_kegg_result <-
try(object@enrichment_kegg_result, silent = TRUE)
enrichment_reactome_result <-
try(object@enrichment_reactome_result, silent = TRUE)
parameter <-
try(object@parameter, silent = TRUE)
###pathway enrichment or gsea
if ("enrich_pathway" %in% names(object@process_info)) {
analysis_type <- "enrich_pathway"
} else{
analysis_type <- "do_gsea"
}
cat(crayon::yellow(paste(rep("-", 20), collapse = ""), "\n"))
cat(crayon::green("Analysis method:", analysis_type, "\n"))
cat(crayon::yellow(paste(rep("-", 20), collapse = ""), "\n"))
message(crayon::green("-----------Variable information------------"))
message(crayon::green(nrow(object@variable_info)),
crayon::green(" features/markers in total"))
p.adjust.cutoff <-
tryCatch(
object@process_info$merge_pathways@parameter$p.adjust.cutoff.go,
error = function(e) {
tryCatch(
object@process_info$enrich_pathway@parameter$pvalueCutoff,
error = function(e) {
object@process_info$do_gse@parameter$pvalueCutoff
}
)
}
)
count.cutoff <-
tryCatch(
object@process_info$merge_pathways@parameter$count.cutoff.go,
error = function(e) {
tryCatch(
object@process_info$enrich_pathway@parameter$pvalueCutoff,
error = function(e) {
object@process_info$do_gse@parameter$pvalueCutoff
}
)
}
)
message(crayon::green("-----------GO------------"))
if (is.null(enrichment_go_result)) {
message(crayon::green('No GO results'))
} else{
if (analysis_type == "enrich_pathway") {
message(
crayon::green(
nrow(
enrichment_go_result@result %>%
dplyr::filter(
p.adjust < p.adjust.cutoff &
Count > count.cutoff &
ONTOLOGY != "CC"
)
),
"GO terms (BP and MF) with p.adjust <",
p.adjust.cutoff,
"and Count >",
count.cutoff
)
)
} else{
message(crayon::green(
nrow(
enrichment_go_result@result %>%
dplyr::filter(p.adjust < p.adjust.cutoff &
ONTOLOGY != "CC")
),
"GO terms (BP and MF) with p.adjust <",
p.adjust.cutoff
))
}
}
if (length(object@merged_pathway_go) == 0) {
message(crayon::green('No GO modules'))
} else{
message(crayon::green(
length(object@merged_pathway_go$module_result$module),
"GO modules"
))
}
message(crayon::green("-----------KEGG------------"))
if (is.null(enrichment_kegg_result)) {
message(crayon::green('No KEGG results'))
} else{
if (analysis_type == "enrich_pathway") {
message(
crayon::green(
nrow(
enrichment_kegg_result@result %>%
dplyr::filter(p.adjust < p.adjust.cutoff &
Count > count.cutoff)
),
"KEGG pathways with p.adjust <",
p.adjust.cutoff,
"and Count >",
count.cutoff
)
)
} else{
message(crayon::green(
nrow(
enrichment_kegg_result@result %>%
dplyr::filter(p.adjust < p.adjust.cutoff)
),
"KEGG pathways with p.adjust <",
p.adjust.cutoff
))
}
}
if (length(object@merged_pathway_kegg) == 0) {
message(crayon::green('No KEGG modules'))
} else{
message(crayon::green(
length(object@merged_pathway_kegg$module_result$module),
"KEGG modules"
))
}
message(crayon::green("-----------Reactome------------"))
if (is.null(enrichment_reactome_result)) {
message(crayon::green('No Reactome results'))
} else{
if (analysis_type == "enrich_pathway") {
message(
crayon::green(
nrow(
enrichment_reactome_result@result %>%
dplyr::filter(p.adjust < p.adjust.cutoff &
Count > count.cutoff)
),
"Reactome pathways with p.adjust <",
p.adjust.cutoff,
"and Count >",
count.cutoff
)
)
} else{
message(crayon::green(
nrow(
enrichment_reactome_result@result %>%
dplyr::filter(p.adjust < p.adjust.cutoff)
),
"Reactome pathways with p.adjust <",
p.adjust.cutoff
))
}
}
if (length(object@merged_pathway_reactome) == 0) {
message(crayon::green('No Reactome modules'))
} else{
message(crayon::green(
length(object@merged_pathway_reactome$module_result$module),
"Reactome modules"
))
}
message(crayon::green("-----------Functional modules------------"))
if (length(object@merged_module) == 0) {
message(crayon::green('No Functional modules'))
} else{
message(crayon::green(
length(object@merged_module$functional_module_result$module),
"Functional modules"
))
}
cat(crayon::yellow(paste(rep("-", 20), collapse = ""), "\n"))
cat(crayon::green("Processing information\n"))
if (.hasSlot(object = object, name = "process_info") &
length(object@process_info) != 0) {
process_info <- object@process_info
cat(crayon::green(length(process_info), "processings in total\n"))
if (length(process_info) > 5) {
cat(crayon::green("Latest 3 processings show\n"))
process_info <- tail(process_info, 3)
}
for (idx in seq_along(process_info)) {
cat(crayon::green(names(process_info)[idx], paste(rep("-", 10), collapse = ""), "\n"))
if (length(process_info[[idx]]) == 1) {
data.frame(
"Package" = process_info[[idx]]@pacakge_name,
"Function used" = process_info[[idx]]@function_name,
"Time" = process_info[[idx]]@time
) %>%
print()
} else{
data.frame(
"Package" = process_info[[idx]] %>% lapply(function(x)
x@pacakge_name) %>% unlist(),
"Function used" = process_info[[idx]] %>% lapply(function(x)
x@function_name) %>% unlist(),
"Time" = process_info[[idx]] %>% lapply(function(x)
as.character(x@time)) %>% unlist()
) %>%
print()
}
}
} else{
cat(crayon::red("There are no processing for your data.\n"))
}
}
)