10_1038_s41586_018_0654_5 #189
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| def load(data_dir, sample_fn, **kwargs): | ||
| fn = os.path.join(data_dir, sample_fn) |
Contributor
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It looks like you are not using fn, so you can just take this line out!
| import numpy as np | ||
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| def load(data_dir, sample_fn, **kwargs): |
Contributor
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If you only have a single file, it is not necessary to use sample_fn and you can use def load(data_dir, **kwargs): instead here
| @@ -0,0 +1,44 @@ | |||
| dataset_structure: | |||
| dataset_index: 1 | |||
| sample_fns: | |||
Contributor
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You can leave this field empty if you only have a single file name here to reduce complexity!
| observation_wise: | ||
| cellontology_original_obs_key: "cell_cluster" | ||
| feature_wise: | ||
| var_ensembl_col: |
Contributor
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You will need to supply one of these to give some sort of gene name list.
le-ander
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