Modeling association detection in order to discover compounds to inhibit oral cancer.

doi:10.1016/j.jbi.2018.07.005

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Article

Modeling association detection in order to discover compounds to inhibit oral cancer.

Journal of biomedical informatics - 1 Aug 2018

Vittal Suhas, Karthikeyan Gokul

Abstract excerpt

In the past, algorithms exploiting varying semantics in interactions between biological objects such as genes and diseases have been used in bioinformatics to uncover latent relationships within biological datasets. In this paper, we consider the algorithm Medusa in parallel with binary classification in order to find potential compounds to inhibit oral cancer. Oral cancer affects the mouth and pharynx and has a...

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PMID: 30004020
DOI: 10.1016/j.jbi.2018.07.005

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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