Conrad: Gene prediction using conditional random fields
نویسندگان
چکیده
منابع مشابه
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 annotation accuracy. In addition, unlike the best annotation pipelines, which rely on heuristic an...
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ژورنال
عنوان ژورنال: Genome Research
سال: 2007
ISSN: 1088-9051
DOI: 10.1101/gr.6558107