Cargando…
Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts
BACKGROUND: Automatic recognition of relations between a specific disease term and its relevant genes or protein terms is an important practice of bioinformatics. Considering the utility of the results of this approach, we identified prostate cancer and gene terms with the ID tags of public biomedic...
Autores principales: | Chun, Hong-Woo, Tsuruoka, Yoshimasa, Kim, Jin-Dong, Shiba, Rie, Nagata, Naoki, Hishiki, Teruyoshi, Tsujii, Jun'ichi |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764448/ https://www.ncbi.nlm.nih.gov/pubmed/17134477 http://dx.doi.org/10.1186/1471-2105-7-S3-S4 |
Ejemplares similares
-
Extracting rate changes in transcriptional regulation from MEDLINE abstracts
por: Liu, Wenting, et al.
Publicado: (2014) -
Prioritization, clustering and functional annotation of MicroRNAs using latent semantic indexing of MEDLINE abstracts
por: Roy, Sujoy, et al.
Publicado: (2016) -
Open Biomedical Ontology-based Medline exploration
por: Xuan, Weijian, et al.
Publicado: (2009) -
Discovering and visualizing indirect associations between biomedical concepts
por: Tsuruoka, Yoshimasa, et al.
Publicado: (2011) -
FACTA: a text search engine for finding associated biomedical concepts
por: Tsuruoka, Yoshimasa, et al.
Publicado: (2008)