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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...
Autores principales: | Yang, Hui, Nenadic, Goran, Keane, John A |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
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 |
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