Closed LKremer closed 2 years ago
I implemented a little filtering utility now, see commit fb62888216495ed72af16f23a1f29c7e6d3600d4. Didn't test this on a big dataset yet. It might be slow since it slices the columns of a sparse matrix optimised for row-wise access. But better than re-running prepare, I guess.
Tested on ~1000 cells, it's pretty fast.
Currently, you have do this manually by re-running scbs prepare on high-quality cells only. It would be nice if you could just filter low quality or uninteresting cells from DATA_DIR directly.