Motivated by the study of drug repurposing, we present an unsupervised node embedding algorithm that learns latent representations of drugs and diseases based ...

Motivated by the study of drug repurposing, we present an unsupervised node embedding algorithm that learns latent representations of drugs and diseases based ...

Drug Repurposing Opportunities in Shapley Space ; American Association for the Advancement of Science (AAAS) · Pietzner M., Wheeler E., Carrasco-Zanini J., Cortes ...

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Sep 26, 2024 · This review comprehensively explores some of the most prominent KGs, detailing their structure, data sources, and how they facilitate the repurposing of drugs.

Jul 12, 2018 · We report a new method for measuring compound functional similarity based on gene expression data. This approach takes advantage of deep neural networks.

Mar 1, 2024 · We introduce drexml, a command line tool and Python package for rational data-driven drug repurposing. The package employs machine learning ...

Missing: Shapley Space.

Dec 11, 2020 · Drug repurposing is a convenient alternative when the need for new drugs in an unexpected medical scenario is urgent, as is the case of emerging ...

Drug repurposing strategies using novel combinations of previously tested anticancer agents could reduce the cost and improve treatment outcomes. At MD Anderson ...