Hi,
Thanks for a very useful piece of software! I've played somewhat with the example datasets, considering also how I would like to use it for our purposes, that is analysis of single samples in a tumor board setting. I've encountered that some of the methods fail when you reduce the matrix to a single column, which I guess might be not so surprising, considering you assume that a matrix is fed as the input. I thought it could either way be mentioned, as this might be a use case common to others as well. So far I've gotten the following methods to work for a single sample (matrix with one column):
I got errors for
- xCell
Error in if (dim(expr)[1] < 5000) { : argument is of length zero
- ESTIMATE (
immunedeconv::deconvolute_estimate(gene_expression_matix = single_column_mat))
Error in m[1, ] : incorrect number of dimensions
I guess that a work-around to make the latter two work could be to append the single column matrix with a "fake" sample, but thought i'd either way mention it.
Thanks again for great work!
best,
Sigve
Hi,
Thanks for a very useful piece of software! I've played somewhat with the example datasets, considering also how I would like to use it for our purposes, that is analysis of single samples in a tumor board setting. I've encountered that some of the methods fail when you reduce the matrix to a single column, which I guess might be not so surprising, considering you assume that a matrix is fed as the input. I thought it could either way be mentioned, as this might be a use case common to others as well. So far I've gotten the following methods to work for a single sample (matrix with one column):
I got errors for
Error in if (dim(expr)[1] < 5000) { : argument is of length zeroimmunedeconv::deconvolute_estimate(gene_expression_matix = single_column_mat))Error in m[1, ] : incorrect number of dimensionsI guess that a work-around to make the latter two work could be to append the single column matrix with a "fake" sample, but thought i'd either way mention it.
Thanks again for great work!
best,
Sigve