Graphen Artificial Intelligence
AI tool for the future precision medicine and precision health.
One of the crucial steps toward understanding the cellular behavior and disease mechanisms is to investigate the protein-protein interaction networks. Using Natural Language Processing (NLP) technology combined with graph technology, we can comprehensively understand not only the knowledge and intends within the literature, but also able to generate the protein-protein associations base on the information within the key words and entire citation network.
In: Medical literature / Out: Protein-protein associations network
Aggregation of high-throughput biological data using pathway-based approaches is useful to associate molecular results to functional features related to the disease phenotypes. Biological pathways communicate with one another through the crosstalk phenomenon, forming large networks of interacting processes. Through graph-based model combing with biology networks and pathways information to predict comprehensively pathway networks can help fully understand the disease mechanisms.
In: Pathways / Out: Protein-pathway associations network
