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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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| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2011
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3039576/ https://ncbi.nlm.nih.gov/pubmed/21284890 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-44 |
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