The p53HMM algorithm: using profile hidden markov models to detect p53-responsive genes

BACKGROUND: A computational method (called p53HMM) is presented that utilizes Profile Hidden Markov Models (PHMMs) to estimate the relative binding affinities of putative p53 response elements (REs), both p53 single-sites and cluster-sites. These models incorporate a novel "Corresponded Baum-We...

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Detalles Bibliográficos
Autores principales: Riley, Todd, Yu, Xin, Sontag, Eduardo, Levine, Arnold
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685388/
https://www.ncbi.nlm.nih.gov/pubmed/19379484
http://dx.doi.org/10.1186/1471-2105-10-111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2685388/
https://www.ncbi.nlm.nih.gov/pubmed/19379484
http://dx.doi.org/10.1186/1471-2105-10-111

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