| Literature DB >> 34653367 |
Andrea Rolong1, Bob Chen2, Ken S Lau3.
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.Entities:
Mesh:
Year: 2021 PMID: 34653367 PMCID: PMC8655686 DOI: 10.1016/j.cell.2021.09.028
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 66.850