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Article

A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization.

Bioinformatics (Oxford, England) - 15 Nov 2015

Kim Sungchul, Sael Lee, Yu Hwanjo

Abstract excerpt

MOTIVATION: As the quantity of genomic mutation data increases, the likelihood of finding patients with similar genomic profiles, for various disease inferences, increases. However, so does the difficulty in identifying them. Similarity search based on patient mutation profiles can solve various translational bioinformatics tasks, including prognostics and treatment efficacy predictions for better clinical...

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Identifiers

PMID: 26209432
DOI: 10.1093/bioinformatics/btv409
PMCID: PMC4672174

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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