Gene ontology based transfer learning for protein subcellular localization

BACKGROUND: Prediction of protein subcellular localization generally involves many complex factors, and using only one or two aspects of data information may not tell the true story. For this reason, some recent predictive models are deliberately designed to integrate multiple heterogeneous data sou...

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Detalles Bibliográficos
Autores principales: Mei, Suyu, Fei, Wang, Zhou, Shuigeng
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039576/
https://www.ncbi.nlm.nih.gov/pubmed/21284890
http://dx.doi.org/10.1186/1471-2105-12-44

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3039576/
https://www.ncbi.nlm.nih.gov/pubmed/21284890
http://dx.doi.org/10.1186/1471-2105-12-44

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