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Namespace all method IDs
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parent
038208bfbd
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6 changed files with 9 additions and 9 deletions
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@ -19,7 +19,7 @@ method <- function(id, name, description, func) {
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structure(
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list(
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id = id,
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id = glue::glue("geposan_method_{id}"),
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name = name,
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description = description,
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func = func
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@ -55,7 +55,7 @@ adjacency <- function(id = "adjacency",
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reference_gene_ids <- preset$reference_gene_ids
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cached(
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"adjacency",
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id,
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c(
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species_ids,
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gene_ids,
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@ -76,7 +76,7 @@ clustering <- function(id = "clustering",
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gene_ids <- preset$gene_ids
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cached(
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"clustering",
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id,
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c(species_ids, gene_ids, span, weight),
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{ # nolint
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scores <- data.table(gene = gene_ids)
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@ -24,7 +24,7 @@ correlation <- function(id = "correlation",
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reference_gene_ids <- preset$reference_gene_ids
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cached(
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"correlation",
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id,
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c(species_ids, gene_ids, reference_gene_ids, summarize),
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{ # nolint
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# Prefilter distances by species.
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@ -14,9 +14,9 @@
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#'
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#' @export
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distance <- function(id = "distance",
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name = "Distance",
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description = "Distance to telomeres",
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summarize = stats::median) {
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name = "Distance",
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description = "Distance to telomeres",
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summarize = stats::median) {
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method(
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id = id,
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name = name,
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@ -25,7 +25,7 @@ distance <- function(id = "distance",
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species_ids <- preset$species_ids
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gene_ids <- preset$gene_ids
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cached("distance", c(species_ids, gene_ids), {
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cached(id, c(species_ids, gene_ids), {
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# Prefilter distances by species and gene.
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data <- geposan::distances[
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species %chin% preset$species_ids &
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@ -33,7 +33,7 @@ neural <- function(id = "neural",
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reference_gene_ids <- preset$reference_gene_ids
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cached(
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"neural",
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id,
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c(
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species_ids,
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gene_ids,
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