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Positive-unlabeled learning for disease gene identification
Background: Identifying disease genes from human genome is an important but challenging task in biomedical research. Machine learning methods can be applied to discover new disease genes based on the known ones. Existing machine learning methods typically use the known disease genes as the positive...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2012
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| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3467748/ https://ncbi.nlm.nih.gov/pubmed/22923290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts504 |
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