Automated workflow for the cell cycle analysis of non-adherent and adherent cells using a machine learning approach
K. Hayatigolkhatmi, C. Soriani, E. Soda, E. Ceccacci, O. El Menna, S. Peri, I. Negrelli, G. Bertolini, G. M. Franchi, R. Carbone, S. Minucci, S. Rodighiero
This paper introduces an automated method for analyzing the cell cycle in both adherent and non-adherent cells using machine learning, validated in AML cell lines and drug response testing.
bioRxiv · Dec 21, 2023Cell Biology