Interpretable deep learning reveals the sequence rules of Hippo signaling
Khyati Dalal,
Charles McAnany,
Melanie Weilert
et al.
Abstract:SummaryThe response to signaling pathways is highly context-specific, and identifying the transcription factors and mechanisms that are responsible is very challenging. Using the Hippo pathway in mouse trophoblast stem cells as a model, we show here that this information is encoded incis-regulatory sequences and can be learned from high-resolution binding data of signaling transcription factors. Using interpretable deep learning, we show that the binding levels of TEAD4 and YAP1 are enhanced in a distance-depe… Show more
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