Open threshold233 opened 1 month ago
Dear user,
Thank you for your interest in our methods.
It is always recommended to use the most comprehensive representation of cell types to build the scRNA-seq reference, as the statistical model assumes that all cell types are found in the reference and their fractions sum to one.
If only using non-tumor cells, the BayesPrism will distribute reads from tumor cell to the cell type that are most similar to tumor cell in the reference, and hence inflate its fraction.
I was not quite sure what is exactly meant when you say 3 cancer type. Typically, it is recommended to deconvolve one cancer type, e.g. GBM or lung cancer, at a time, using the scRNA-seq from the matched cancer type to build the reference.
Best,
Tinyi
On Mon, Aug 12, 2024 at 5:11 AM threshold233 @.***> wrote:
Dear developers:
First of all, thank you for developing this great algorithms, it really helped my research. I try to find the specific immune cell fraction in a bulk dataset containing multiple cancer. But in this project, the reference scRNA dataset just contain 3 cancer type, which means only 3 types of cancer cell can be included as the reference for buliding the Prism object. But the bulk dataset containing 10 cancers. So i wonder can i just use the non-tumor cells as the reference in buliding the Prism object and what problem may this method cause in using BayesPrism if i do not include the tumor cell.
Thanks for your help!
— Reply to this email directly, view it on GitHub https://github.com/Danko-Lab/BayesPrism/issues/95, or unsubscribe https://github.com/notifications/unsubscribe-auth/AB4NHS26LPWPNFHYYDP4B4LZRB34HAVCNFSM6AAAAABMLX7XRWVHI2DSMVQWIX3LMV43ASLTON2WKOZSGQ3DANBUGE4DSNI . You are receiving this because you are subscribed to this thread.Message ID: @.***>
Thank you for your explain, I know what i should for my assay.
Dear developers:
First of all, thank you for developing this great algorithms, it really helped my research. I try to find the specific immune cell fraction in a bulk dataset containing multiple cancer. But in this project, the reference scRNA dataset just contain 3 cancer type, which means only 3 types of cancer cell can be included as the reference for buliding the Prism object. But the bulk dataset containing 10 cancers. So i wonder can i just use the non-tumor cells as the reference in buliding the Prism object and what problem may this method cause in using BayesPrism if i do not include the tumor cell.
Thanks for your help!