Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Deconvolution analysis - N of 1 #163

Open
sigven opened this issue Dec 14, 2023 · 0 comments
Open

Deconvolution analysis - N of 1 #163

sigven opened this issue Dec 14, 2023 · 0 comments
Labels
enhancement New feature or request

Comments

@sigven
Copy link

sigven commented Dec 14, 2023

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):

  • ABIS
  • epic
  • quanTIseq

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

@sigven sigven added the enhancement New feature or request label Dec 14, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant