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...: data_dir = '/work/sjp/data/'
In [23]: scalesc = ssc.ScaleSC(data_dir=data_dir,
...: max_cell_batch=1e5, # no more than 1e5 is suggested
...: preload_on_cpu=True,
...: preload_on_gpu=True,
...: save_raw_counts=False,
...: save_norm_counts=False,
...: output_dir='test_scalesc_2.9M_results')
In [24]:
In [24]: print(scalesc.adata.shape)
(2915977, 5001)
In [25]: print(scalesc.reader.shape)
(-1, -1)
scalesc.reader.shape displays (-1, -1), which is very strange, causing problems in subsequent data processing. I implore you to help. Thank you!
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