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input Input is raw count data in TSV/CSV or H5AD (anndata)
format. Row/col names are mandatory. Note that TSV/CSV
files must be in gene x cell layout where rows are
genes and cols are cells (scRNA-seq convention).Use
the -t/--transpose option if your count matrix in cell
x gene layout. H5AD files must be in cell x gene
format (stats and scanpy convention).
-t, --transpose Transpose input matrix (default: False)
my csv files are in cellxgene format
I used code: dca -t input.csv out_name
But in the log file, I found that dca still treated gene as cell and cell as genes
Am I doing sth wrong? thanks!
The text was updated successfully, but these errors were encountered:
In the description it says:
my csv files are in cellxgene format
I used code:
dca -t input.csv out_name
But in the log file, I found that dca still treated gene as cell and cell as genes
Am I doing sth wrong? thanks!
The text was updated successfully, but these errors were encountered: