HMM-ModE – Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying emission probabilities with negative training sequences

BACKGROUND: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have been used in identifying remote homologues with considerable success. These conservation patterns arise from fold specific...

Descripción completa

Detalles Bibliográficos
Autores principales: Srivastava, Prashant K, Desai, Dhwani K, Nandi, Soumyadeep, Lynn, Andrew M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852395/
https://www.ncbi.nlm.nih.gov/pubmed/17389042
http://dx.doi.org/10.1186/1471-2105-8-104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1852395/
https://www.ncbi.nlm.nih.gov/pubmed/17389042
http://dx.doi.org/10.1186/1471-2105-8-104

Ejemplares similares