# create HDF5Array TENxMatrix for fast
library(SingleCellExperiment)
app_dir <- '/home/alex/patient_data/example'
app_dirs <- list.files('/srv/dseqr')
app_dirs <- setdiff(app_dirs,
c('indices', 'node_modules', 'pert_signature_dir',
'pert_query_dir', 'gs_dir', 'example_data.tar.gz', 'tx2gene'))
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')
dgclogs_path <- file.path(dataset_dir, 'dgclogs.qs')
dgrlogs_path <- file.path(dataset_dir, 'dgrlogs.qs')
if (!file.exists(dgclogs_path)) next()
if (!file.exists(dgrlogs_path)) next()
logs <- qs::qread(dgclogs_path)
tlogs <- Matrix::t(logs)
tlogs_path <- file.path(dataset_dir, 'tlogs.tenx')
HDF5Array::writeTENxMatrix(tlogs, tlogs_path, group = 'mm10')
unlink(dgrlogs_path)
}
}
for (app_dir in app_dirs) convert(app_dir)
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