Corpus ID: 235352640

Deep Contextual Learners for Protein Networks

@article{Li2021DeepCL,
  title={Deep Contextual Learners for Protein Networks},
  author={Michelle M. Li and M. Zitnik},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.02246}
}
Spatial context is central to understanding health and disease. Yet reference protein interaction networks lack such contextualization, thereby limiting the study of where protein interactions likely occur in the human body and how they may be altered in disease. Contextualized protein interactions could better characterize genes with diseasespecific interactions and elucidate diseases’ manifestation in specific cell types. Here, we introduce AWARE, a graph neural message passing approach to… Expand
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