Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (MET), are believed to play key roles in facilitating the metastatic cascade. Metastatic lesions often exhibit a similar epithelial-like state to that of the primary tumour, in particular, by forming c...

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Bibliographic Details
Main Authors: Vlada S Rozova, Ayad G Anwer, Anna E Guller, Hamidreza Aboulkheyr Es, Zahra Khabir, Anastasiya I Sokolova, Maxim U Gavrilov, Ewa M Goldys, Majid Ebrahimi Warkiani, Jean Paul Thiery, Andrei V Zvyagin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-07-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1009193

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https://doi.org/10.1371/journal.pcbi.1009193

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