search

xuranw / MuSiC

Multi-subject Single Cell Deconvolution
https://github.com/xuranw/MuSiC
GNU General Public License v3.0
231 stars 92 forks source link

Getting top 100 transcripts by weight for determining cell proportions? #30

Open tjbutler003 opened 5 years ago

tjbutler003 commented 5 years ago

Hi Xuran, Thank you very much for the MuSiC package you have provided, I have been working on it and have another question regarding finding the most influential genes in determining cell type proportions. Can we use the Weight.gene matrix and sum across rows (transcripts) to get the transcripts with the highest aggregate weight, and consider them to be the most influential transcripts in determining cell type proportions? We would like to compare the MuSiC method with another method that other members of our group has used (a version of NNLS) and compare which transcripts were selected as being those that were differentially expressed in different immune cell types. Any help is appreciated. Thanks, T.J.

WeijianH96 commented 9 months ago

Hi, I think that's how they generated the top 100 high weighted genes in their first paper. And remember the actual top 100 high weighted genes might have lowest sum of weight.