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Hello,
I was rerunning evaluation pipeline from JUMP paper and also tried spherized features and observed that the files are not properly filtered w.r.t. plate ID.
Example: cpg0000-jump-pilot/source_4/workspace/profiles/2020_11_04_CPJUMP1/BR00117010/BR00117010_spherized.csv.gz has 1536 rows, while
the normalized_feature_select_negcon_batch version has expected 384 rows.
Turns out, there are in fact profiles of 4 plates. Seems like plates were concatenated in groups for sphering, but were not filtered back.
The text was updated successfully, but these errors were encountered:
Hello,
I was rerunning evaluation pipeline from JUMP paper and also tried spherized features and observed that the files are not properly filtered w.r.t. plate ID.
Example:
cpg0000-jump-pilot/source_4/workspace/profiles/2020_11_04_CPJUMP1/BR00117010/BR00117010_spherized.csv.gz
has 1536 rows, whilethe
normalized_feature_select_negcon_batch
version has expected 384 rows.Turns out, there are in fact profiles of 4 plates. Seems like plates were concatenated in groups for sphering, but were not filtered back.
The text was updated successfully, but these errors were encountered: