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A Regression-based K nearest neighbor algorithm for gene function prediction from heterogeneous data

BACKGROUND: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heterogeneous data sources. METHODS: In this paper, we address this issue by proposing a general framework for gene function pred...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Yao, Zizhen, Ruzzo, Walter L
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2006
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC1810312/
https://ncbi.nlm.nih.gov/pubmed/16723004
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-S1-S11
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