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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...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2352869/ https://ncbi.nlm.nih.gov/pubmed/18426546 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-S3-S11 |
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