Open rmontagn opened 1 year ago
Dear User,
Thank you very much for your suggestion.
We will incorporate this feature in our next release. In the meantime, you may construct the reference profile by summing up reads in each cell state/type, and specify input.type="GEP".
Best,
Tinyi
On Tue, Aug 29, 2023 at 9:50 AM rmontagn @.***> wrote:
Hello,
First thank you for your tool.
I am currently using Bayestools to perform deconvolution.
However, from some steps you need to convert your single cell reference to a full matrix format instead of a sparse matrix format.
As I am working with an atlas, I have to subset the data so I can't use the total information in my reference.
Do you consider, if feasible, enabling the use of sparse in the future ? This would make BayesPrism even more user friendly and allow to use large datasets as reference with minimal resources.
Thank you.
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Thank you very much for your answer !
I will do as you advised.
Best
Hi, I can see this issue was raised in August last year - just wanted to reiterate that it being able to use sparse matrices would be an excellent feature to have. Are you still updating the package and if so, is it still your plan to add sparse matrices? Is there a planned date for next release? Thank you!
Sorry for the delay. The new version v2.2 now supports input of dgMatrix as the input of scRNA-seq reference.
Hello,
First thank you for your tool.
I am currently using Bayestools to perform deconvolution.
However, from some steps you need to convert your single cell reference to a full matrix format instead of a sparse matrix format.
As I am working with an atlas, I have to subset the data so I can't use the total information in my reference.
Do you consider, if feasible, enabling the use of sparse matrices in the future ? This would make BayesPrism even more user friendly and allow to use large datasets as reference with minimal resources.
Thank you.