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Article

Semi-supervised clustering algorithm for haplotype assembly problem based on MEC model.

International journal of data mining and bioinformatics - 1 Jan 2012

Xu Xin-Shun, Li Ying-Xin

Abstract excerpt

Haplotype assembly is to infer a pair of haplotypes from localized polymorphism data. In this paper, a semi-supervised clustering algorithm-SSK (semi-supervised K-means) is proposed for it, which, to our knowledge, is the first semi-supervised clustering method for it. In SSK, some positive infor...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 23155772
DOI: 10.1504/ijdmb.2012.049279

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-23155772-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

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