A Mechanism-Informed Deep Neural Network Enables Prioritization of Regulators That Drive Cell State Transitions
February 2025
in “
Nature Communications
”
Studysummary In this study, a deep neural network model called regX was developed to prioritize driver regulators for cell state transitions by incorporating gene-level regulation and interactions, showing potential therapeutic targets in type 2 diabetes and hair follicle development when applied to single-cell multi-omics data.
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