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CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction
We describe CONTRAST, a gene predictor which directly incorporates information from multiple alignments rather than employing phylogenetic models. This is accomplished through the use of discriminative machine learning techniques, including a novel training algorithm. We use a two-stage approach, in...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246271/ https://www.ncbi.nlm.nih.gov/pubmed/18096039 http://dx.doi.org/10.1186/gb-2007-8-12-r269 |