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Decreasing the number of false positives in sequence classification
BACKGROUND: A large number of probabilistic models used in sequence analysis assign non-zero probability values to most input sequences. To decide when a given probability is sufficient the most common way is bayesian binary classification, where the probability of the model characterizing the seque...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045793/ https://www.ncbi.nlm.nih.gov/pubmed/21210966 http://dx.doi.org/10.1186/1471-2164-11-S5-S10 |