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gsea: Categorize by GO subsection
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1 changed files with 18 additions and 6 deletions
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@ -20,23 +20,35 @@ result <- if (file.exists(file_path)) {
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data[, bucket := ceiling(rank / bucket_size)]
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data[, bucket := ceiling(rank / bucket_size)]
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result <- data[, .(analysis = list(gprofiler2::gost(gene))), by = bucket]
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result <- data[, .(analysis = list(gprofiler2::gost(gene))), by = bucket]
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result[, count := nrow(analysis[[1]]$result), by = bucket]
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result[is.na(count), count := 0]
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saveRDS(result, file = file_path)
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saveRDS(result, file = file_path)
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result
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result
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}
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}
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result[, result := lapply(analysis, function (a) a$result)]
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result <- result[, rbindlist(result), by = bucket]
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result <- result[source %chin% c("GO:CC", "GO:BP", "GO:MF")]
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result[source == "GO:CC", label := "Cellular component"]
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result[source == "GO:BP", label := "Biological pathway"]
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result[source == "GO:MF", label := "Molecular function"]
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data <- result[,
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.(count = .N, label = unique(label)),
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by = c("bucket", "source")
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]
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fig <- plotly::plot_ly() |>
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fig <- plotly::plot_ly() |>
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plotly::add_bars(
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plotly::add_bars(
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data = result,
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data = data,
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x = ~bucket,
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x = ~bucket,
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y = ~count
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y = ~count,
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color = ~label
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) |>
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) |>
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plotly::layout(
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plotly::layout(
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xaxis = list(title = "Bucket of genes (n = 500)"),
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xaxis = list(title = "Bucket of genes (n = 500)"),
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yaxis = list(title = "Number of associated terms")
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yaxis = list(title = "Number of associated terms"),
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barmode = "stack"
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)
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)
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plotly::save_image(fig, image_path, width = 1200, height = 800)
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plotly::save_image(fig, image_path, width = 1200, height = 800)
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