Cargando…
A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature
The biomedical literature represents a rich source of biomarker information. However, both the size of literature databases and their lack of standardization hamper the automatic exploitation of the information contained in these resources. Text mining approaches have proven to be useful for the exp...
Autores principales: | Bravo, À., Cases, M., Queralt-Rosinach, N., Sanz, F., Furlong, L. I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009255/ https://www.ncbi.nlm.nih.gov/pubmed/24839601 http://dx.doi.org/10.1155/2014/253128 |
Ejemplares similares
-
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
por: Bravo, Àlex, et al.
Publicado: (2015) -
DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases
por: Queralt-Rosinach, Núria, et al.
Publicado: (2016) -
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes
por: Piñero, Janet, et al.
Publicado: (2015) -
Structured reviews for data and knowledge-driven research
por: Queralt-Rosinach, Núria, et al.
Publicado: (2020) -
A proof-of-concept study of extracting patient histories for rare/intractable diseases from social media
por: Yamaguchi, Atsuko, et al.
Publicado: (2020)