Coupled Tensor-Tensor Completion Method with Applications in Drug Repurposing
ArXiv cs.LG ·
01 / At a Glance
This paper presents a coupled tensor-tensor completion method for predicting drug-disease interactions, with applications to drug repurposing—identifying new therapeutic uses for existing drugs. The approach addresses sparse, high-dimensional biomedical data common in pharmaceutical research, potentially accelerating drug discovery workflows in healthcare and pharmaceutical enterprises.
02 / Full Analysis
This paper presents a coupled tensor-tensor completion method for predicting drug-disease interactions, with applications to drug repurposing—identifying new therapeutic uses for existing drugs. The approach addresses sparse, high-dimensional biomedical data common in pharmaceutical research, potentially accelerating drug discovery workflows in healthcare and pharmaceutical enterprises.
03 / QM Perspective
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Original source
Read on ArXiv cs.LG ↗AI-assisted summary of a third-party source, human-reviewed before publishing.
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