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Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs

BACKGROUND: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the interpretation of these networks. While most research focuses on the unipartite or bipartite case, we address the more general...

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Detalhes bibliográficos
Main Authors: Hartsperger, Mara L, Blöchl, Florian, Stümpflen, Volker, Theis, Fabian J
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3247861/
https://ncbi.nlm.nih.gov/pubmed/20961418
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-522
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