Yuwen Pan comments

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                                            Yuwen Pan

There is no output even a warning, when I compute gene-gene distances with the function cal_ot_mat_from_numpy.

encounter similar problems. it has been >4000 CPU hours, but without progress bar, for neither python or R. machine info: Intel(R) Xeon(R) Platinum 9242 CPU @ 2.30GHz the program seems...

There is no output even a warning, when I compute gene-gene distances with the function cal_ot_mat_from_numpy.

- yes, I can run the human data tutorial on both machines. it takes about 10-20 CPU minutes from the beginning to the end of the gene.dist.mat step. - linux....

There is no output even a warning, when I compute gene-gene distances with the function cal_ot_mat_from_numpy.

using subset of my original data (17k cells x 10k genes), with default parameters, it takes about 2500 CPU hours from the beginning to the end of the gene.dist.mat step....

There is no output even a warning, when I compute gene-gene distances with the function cal_ot_mat_from_numpy.

yes, I manually selected genes. gene_expression_updated: (1000, 11352) graph_dist_updated: (1000, 1000)

Specify additional "genomes" of spike-in controls for downstream calculation of bisulfite conversion efficiency

Hi, just wondering if there is any available tools for analyzing pUC19 and lambda DNA?