Machine learning inference of continuous single-cell state transitions during myoblast differentiation and fusion

Cells modify their internal organization during continuous state transitions, supporting functions from cell division to differentiation. However, tools to measure dynamic physiological states of individual transitioning cells are lacking. We combined live-cell imaging and machine learning to monito...

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Bibliographic Details
Published in:Molecular systems biology 2024-03, Vol.20 (3), p.217-241
Main Authors: Shakarchy, Amit, Zarfati, Giulia, Hazak, Adi, Mealem, Reut, Huk, Karina, Ziv, Tamar, Avinoam, Ori, Zaritsky, Assaf
Format: Article
Language:English
Subjects:
Biomedical and Life Sciences
Differentiation
EMBO10
EMBO11
EMBO22
Life Sciences
Machine Learning
Myoblast Fusion
Myogenesis
State Transition
Systems Biology
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