CORDIS Project
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This project develops innovative computational methods that combine deep learning and mechanistic modeling to predict how cells respond to signaling cues. By analyzing cell states and phosphorylation rates, it aims to enhance understanding of cellular heterogeneity in cancer signaling pathways, particularly in receptor…
Signalling enables cells to respond to external cues, but the inherent heterogeneity of individual cell responses,essential for multicellular organization, complicates disease treatment.
Heterogeneity arises from drivers atsystem and molecular scales, intertwined through feedback loops, making quantitative understanding andprediction challenging. I will address this by pioneering transformative computational methods that predictphospho-signalling responses by integrating deep learning with mecha…
THE FRANCIS CRICK INSTITUTE LIMITED
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