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Deciphering the cancer microenvironment from bulk data with EcoTyper


Rolong AAndrea , Chen BBob , Lau KSKen S . Cell. 2021 10 14; 184(21). 5306-5308


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.