Hetnet connectivity search provides rapid insights into how biomedical entities are related.

ABSTRACT:

Background

Hetnets, short for "heterogeneous networks," contain multiple node and relationship types and offer a way to encode biomedical knowledge. One such example, Hetionet, connects 11 types of nodes-including genes, diseases, drugs, pathways, and anatomical structures-with over 2 million edges of 24 types. Previous work has demonstrated that supervised machine learning methods applied to such networks can identify drug repurposing opportunities. However, a training set of known relationships does not exist for many types of node pairs, even when it would be useful to examine how nodes of those types are meaningfully connected. For example, users may be curious about not only how metformin is related to breast cancer but also how a given gene might be involved in insomnia.

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SUBMITTER: Himmelstein DS 

PROVIDER: S-EPMC10375517 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature