Reranking candidate gene models with cross-species comparison for improved gene prediction (2008)
Liu, Qian, Crammer, Koby, Pereira, Fernando CN, Roos, David S
Abstract Background Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc)....
Reranking candidate gene models with cross-species comparison for improved gene prediction (2008)
Liu, Qian, Crammer, Koby, Pereira, Fernando CN, Roos, David S
Background: Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc)....
Global Discriminative Training for Higher-Accuracy Computational Gene Prediction (2007)
Axel E Bernal, Koby Crammer, Artemis Hatzigeorgiou, Fernando CN Pereira
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...