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Trying out Justin's biocmask implementation of tidyomics for SE
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| load_all("../biocmask") | |
| suppressPackageStartupMessages(library(airway)) | |
| data(airway) | |
| rowData(airway)$group <- sort(rep(1:10, length=nrow(airway))) | |
| library(tibble) | |
| suppressPackageStartupMessages(library(dplyr)) | |
| suppressPackageStartupMessages(library(purrr)) | |
| airway |> | |
| mutate(logcounts = log1p(counts)) | |
| airway |> | |
| mutate(rows(rowsum = rowSums(.assays_asis$counts))) |> | |
| rowData() |> | |
| as_tibble() |> | |
| dplyr::select(rowsum) | |
| head(rowSums(assay(airway))) | |
| airway |> | |
| mutate(rows(rowsum = map_dbl(.assays$counts, sum))) |> | |
| rowData() | |
| airway |> | |
| group_by(rows(group)) |> | |
| mutate(sum_counts = sum(counts)) |> | |
| assay("sum_counts") |> | |
| head() | |
| sum(assay(airway)[rowData(airway)$group == 1,]) | |
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