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...

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Detalles Bibliográficos
Autores principales: Kaplan, Noam, Linial, Michal
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Methodology Article
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

Internet

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

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