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Comment
. 2021 Oct 14;184(21):5306-5308.
doi: 10.1016/j.cell.2021.09.028.

Deciphering the cancer microenvironment from bulk data with EcoTyper

Andrea Rolong  1 , Bob Chen  2 , Ken S Lau  3
Affiliations
Comment

Deciphering the cancer microenvironment from bulk data with EcoTyper

Andrea Rolong et al. Cell. .

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.

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Figures

Figure 1.
Figure 1.. The EcoTyper framework
EcoTyper provides a means of deconvolving multi-sample and multi-platform cohorts of bulk data with insights gained from single-cell data. Cell types are further relegated as cell states and proportional representations. In this form, translationally meaningful ecotypes are composed.
See this image and copyright information in PMC

Comment on

References

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