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Global Discriminative Learning for Higher-Accuracy Computational Gene Prediction
Most ab initio gene predictors use a probabilistic sequence model, typically a hidden Markov model, to combine separately trained models of genomic signals and content. By combining separate models of relevant genomic features, such gene predictors can exploit small training sets and incomplete anno...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1828702/ https://www.ncbi.nlm.nih.gov/pubmed/17367206 http://dx.doi.org/10.1371/journal.pcbi.0030054 |