Deciphering the cancer microenvironment from bulk data with EcoTyper
AUTHORS
Rolong
AAndrea ,
Chen
BBob ,
Lau
KSKen S .
Cell. 2021 10 14; 184(21).
5306-5308
- PMID: 34653367[PubMed].
ABSTRACT
In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and patient prognosis for a variety of tumor types from multiple data sources.