library(SingleCellExperiment)
app_dir <- "/home/alex/patient_data/sjia"
app_dirs <- list.files('/srv/dseqr')
app_dirs <- setdiff(app_dirs,
c('indices', 'node_modules', 'pert_signature_dir',
'pert_query_dir', 'example_data.tar.gz'))
convert <- function(app_dir) {
cat('==== Working on', app_dir, '====\n')
sc_dir <- file.path(app_dir, 'single-cell')
dataset_names <- list.files(sc_dir)
dataset_dirs <- file.path(sc_dir, dataset_names)
for (i in seq_along(dataset_dirs)) {
dataset_name <- dataset_names[i]
dataset_dir <- dataset_dirs[i]
cat('working on', dataset_names[i], '...\n')
scseq_path <- file.path(dataset_dir, 'shell.qs')
logs_path <- file.path(dataset_dir, 'dgclogs.qs')
if (!file.exists(scseq_path)) next()
scseq <- qs::qread(scseq_path)
logcounts(scseq) <- qs::qread(logs_path)
decs <- scran::modelGeneVar(scseq, block=scseq$batch)
SummarizedExperiment::rowData(scseq)$bio <- decs$bio
logcounts(scseq) <- NULL
# orig.ident (test/ctrl) can be updated
scseq$orig.ident <- scseq$orig.cluster <- scseq$orig.resoln <- NULL
qs::qsave(scseq, scseq_path, preset = 'fast')
}
}
for (app_dir in app_dirs) convert(app_dir)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.