Occupancy Classification of Position Weight Matrix-Inferred Transcription Factor Binding Sites

BACKGROUND: Computational prediction of Transcription Factor Binding Sites (TFBS) from sequence data alone is difficult and error-prone. Machine learning techniques utilizing additional environmental information about a predicted binding site (such as distances from the site to particular chromatin...

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Detalles Bibliográficos
Autores principales: Wright, Hollis, Cohen, Aaron, Sönmez, Kemal, Yochum, Gregory, McWeeney, Shannon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3208542/
https://www.ncbi.nlm.nih.gov/pubmed/22073148
http://dx.doi.org/10.1371/journal.pone.0026160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3208542/
https://www.ncbi.nlm.nih.gov/pubmed/22073148
http://dx.doi.org/10.1371/journal.pone.0026160

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