Article

Mining hidden knowledge: Embedding models of cause-effect relationships curated from the biomedical literature

2021-10-09

Abstract excerpt

We explore the use of literature-curated signed causal gene expression and gene-function relationships to construct un-supervised embeddings of genes, biological functions, and diseases. Our goal is to prioritize and predict activating and inhibiting functional associations of genes, and to discover hidden relationships between functions. As an application, we are particularly interested in the automatic construct...

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Literature Corpus work: cb6c3b22-c2fd-56f7-a663-0cd0f8653f40
DOI: 10.1101/2021.10.07.463598

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