Data-driven bioinformatics to disentangle cells within a tissue microenvironment

Molecular profiling of clinical tissue samples is at the core of precision medicine. Yet, to elucidate the contribution of mixed cell types and detect changes in cell populations in response to infections or drugs is challenging. Recent advances using machine learning promise to learn explanatory models directly from data.

Citation

Tegner, J. N., & Gomez-Cabrero, D. (2022). Data-driven bioinformatics to disentangle cells within a tissue microenvironment. Trends in Cell Biology. https://doi.org/10.1016/j.tcb.2022.03.009

Acknowledgements

J.N.T and D.G-C acknowledge support from King Abdullah University of Science and Technology.