Hypotheses generation as supervised link discovery with automated class labeling on large-scale biomedical concept networks

Computational approaches to generate hypotheses from biomedical literature have been studied intensively in recent years. Nevertheless, it still remains a challenge to automatically discover novel, cross-silo biomedical hypotheses from large-scale literature repositories. In order to address this ch...

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Detalles Bibliográficos
Autores principales: Katukuri, Jayasimha Reddy, Xie, Ying, Raghavan, Vijay V, Gupta, Ashish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394427/
https://www.ncbi.nlm.nih.gov/pubmed/22759614
http://dx.doi.org/10.1186/1471-2164-13-S3-S5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394427/
https://www.ncbi.nlm.nih.gov/pubmed/22759614
http://dx.doi.org/10.1186/1471-2164-13-S3-S5

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