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Conrad: Gene prediction using conditional random fields
We present Conrad, the first comparative gene predictor based on semi-Markov conditional random fields (SMCRFs). Unlike the best standalone gene predictors, which are based on generalized hidden Markov models (GHMMs) and trained by maximum likelihood, Conrad is discriminatively trained to maximize a...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Cold Spring Harbor Laboratory Press
2007
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1950907/ https://ncbi.nlm.nih.gov/pubmed/17690204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.6558107 |
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