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--transpose/-t option #11

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radio1988 opened this issue May 24, 2018 · 1 comment
Closed

--transpose/-t option #11

radio1988 opened this issue May 24, 2018 · 1 comment

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@radio1988
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radio1988 commented May 24, 2018

In the description it says:

 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!

@gokceneraslan
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There was a bug, it's now fixed with (dfee679). Thanks for reporting!

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