Identification of transcription factor contexts in literature using machine learning approaches

BACKGROUND: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While manual literature curation is expensive and labour intensive, the development of semi-automated text mining support is hinde...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Hui, Nenadic, Goran, Keane, John A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2352869/
https://www.ncbi.nlm.nih.gov/pubmed/18426546
http://dx.doi.org/10.1186/1471-2105-9-S3-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2352869/
https://www.ncbi.nlm.nih.gov/pubmed/18426546
http://dx.doi.org/10.1186/1471-2105-9-S3-S11

Ejemplares similares