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Bayesian Markov models consistently outperform PWMs at predicting motifs in nucleotide sequences
Position weight matrices (PWMs) are the standard model for DNA and RNA regulatory motifs. In PWMs nucleotide probabilities are independent of nucleotides at other positions. Models that account for dependencies need many parameters and are prone to overfitting. We have developed a Bayesian approach...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5291271/ https://www.ncbi.nlm.nih.gov/pubmed/27288444 http://dx.doi.org/10.1093/nar/gkw521 |