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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...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2006
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| Matèries: | |
| Accés en línia: | 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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