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Automatic detection of false annotations via binary property clustering
BACKGROUND: Computational protein annotation methods occasionally introduce errors. False-positive (FP) errors are annotations that are mistakenly associated with a protein. Such false annotations introduce errors that may spread into databases through similarity with other proteins. Generally, meth...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC555558/ https://www.ncbi.nlm.nih.gov/pubmed/15755318 http://dx.doi.org/10.1186/1471-2105-6-46 |