deconvolution with CIBERSORT
0
0
Entering edit mode
17 months ago
glady ▴ 320

Hello everyone,

I'm trying to detect infiltration of immune cells in RNAseq data (TCGA_LUAD), In the beginning, I performed cibersortx (through immunedeconv R pavkage) on 100 samples. But when I change the sample number from 100 to 200, I do observe a change in score from the two runs/process.

For example; Sample_A shows maximum infiltration for Macrophages_M2 and Neutrophils in RUN_1. The same sample (Sample_A) will show a higher score/infiltration for Tcells_CD8 or Bcells in RUN_2.

Why do we see such a difference in results? Is this because of the deconvolution method? If yes, then how can we normalize the parameters or gene counts to get more redundancy across the results? So that I can select the right samples showing infiltration in particular cell types!

Thanks!

microenvironment cells expression immune gene tumor • 445 views
ADD COMMENT

Login before adding your answer.

Traffic: 2131 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6