Cargando…
Binding site discovery from nucleic acid sequences by discriminative learning of hidden Markov models
We present a discriminative learning method for pattern discovery of binding sites in nucleic acid sequences based on hidden Markov models. Sets of positive and negative example sequences are mined for sequence motifs whose occurrence frequency varies between the sets. The method offers several obje...
Autores principales: | Maaskola, Jonas, Rajewsky, Nikolaus |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245949/ https://www.ncbi.nlm.nih.gov/pubmed/25389269 http://dx.doi.org/10.1093/nar/gku1083 |
Ejemplares similares
-
MUMMALS: multiple sequence alignment improved by using hidden Markov models with local structural information
por: Pei, Jimin, et al.
Publicado: (2006) -
Reexamining microRNA Site Accessibility in Drosophila: A Population Genomics Study
por: Chen, Kevin, et al.
Publicado: (2009) -
Epitope Discovery with Phylogenetic Hidden Markov Models
por: Lacerda, Miguel, et al.
Publicado: (2010) -
Scalable Bayesian Inference for Coupled Hidden Markov and Semi-Markov Models
por: Touloupou, Panayiota, et al.
Publicado: (2019) -
Improved accuracy of supervised CRM discovery with interpolated Markov models and cross-species comparison
por: Kazemian, Majid, et al.
Publicado: (2011)