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Ai Systems Biology

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Research Frontiers in Cell Signaling Pathway Reconstruction via Graph Neural Networks

Employment of graph neural networks to reconstruct and analyze intracellular signaling cascades from phosphoproteomic and transcriptomic measurements.

Learned Latent Geometries in Signal Transduction Networks

Message-Passing Through Temporal Signaling Cascades

Graph Inversion: Inferring Hidden Nodes in Pathway Topology

Equivariant Learning of Protein Interaction Specificity

Multilayer Signaling: Reconstructing Cross-Pathway Crosstalk

Neural Attention Mechanisms for Kinase-Substrate Discovery

Heterogeneous Graph Learning in Multi-Omics Integration

Causal Signal Flow Inference Beyond Correlation

Graph Representation Learning for Feedback Loop Identification

Adaptive Message Passing in Dynamic Cellular Responses

All AI Systems Biology PhD categories