author = "Vázquez, M." > : "Dadun: Depósito Académico Digital de la Universidad de Navarra" (x)
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Encontrado 4 documentos, página mostrada 1 de 1

CHEMDNER: The drugs and chemical names extraction challenge

Description: Natural language processing (NLP) and text mining technologies for the chemical domain (ChemNLP or chemical text mining) are key to improve the access and integration of information from unstructured data such as patents or the scientific literature. Therefore, the BioCreative organizers posed the C...
Language(s): Inglés

Quantification of miRNA-mRNA interactions

Description: miRNAs are small RNA molecules (' 22nt) that interact with their corresponding target mRNAs inhibiting the translation of the mRNA into proteins and cleaving the target mRNA. This second effect diminishes the overall expression of the target mRNA. Several miRNA-mRNA relationship databases have been ...
Language(s): Inglés

Anion exchanger immunoreactivity in human salivary glands in health and Sjögren's syndrome

Description: Salivary gland ducts play a relevant role in saliva secretion through transport processes. Na(+)-independent chloride-bicarbonate anion exchangers (AE) may be involved in these processes by generating ion fluxes into the salivary secretion. In Sjögren's syndrome, a disorder with gland dysfunction, t...
Language(s): Inglés

The CHEMDNER corpus of chemicals and drugs and its annotation principles

Description: The automatic extraction of chemical information from text requires the recognition of chemical entity mentions as one of its key steps. When developing supervised named entity recognition (NER) systems, the availability of a large, manually annotated text corpus is desirable. Furthermore, large cor...
Language(s): Inglés
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Encontrado 4 documentos, página mostrada 1 de 1

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