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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Detalles Bibliográficos
Autores principales: Yao, Zizhen, Ruzzo, Walter L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1810312/
https://www.ncbi.nlm.nih.gov/pubmed/16723004
http://dx.doi.org/10.1186/1471-2105-7-S1-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1810312/
https://www.ncbi.nlm.nih.gov/pubmed/16723004
http://dx.doi.org/10.1186/1471-2105-7-S1-S11

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