Immune Deconvolution
Cross-source consensus on Immune Deconvolution from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Preparation
Where it comes from
Highlighted claims
- The study used CIBERSORTx digital cytometry with pan-cancer and glioblastoma-specific reference matrices. — Predictive radiomics for evaluation of cancer immune SignaturE in glioblastoma: the PRECISE-GBM study
- Immune scores were converted into low and high classes using Gaussian mixture modeling. — Predictive radiomics for evaluation of cancer immune SignaturE in glioblastoma: the PRECISE-GBM study
- The binarization process produced 17 immune labels for classifier training and testing. — Predictive radiomics for evaluation of cancer immune SignaturE in glioblastoma: the PRECISE-GBM study
- The reference matrices generated immune scores for several cell categories including T cells, macrophages, dendritic cells, natural killer cells, and microglia. — Predictive radiomics for evaluation of cancer immune SignaturE in glioblastoma: the PRECISE-GBM study