BioengineeringbioRxivPreprint
A data-informed approach for engineering in-vitro experiment design to decipher key features of invasive breast cancer cell phenotypes
Lekha Shah, Valentina Breschi, Annalisa Tirella
The paper introduces a machine learning approach to analyze high-dimensional data from micro-physiological systems to identify key markers distinguishing invasive from non-invasive breast cancer cell phenotypes.
DOI 10.1101/2025.03.21.643499