Cargando…
Leveraging prior knowledge for protein–protein interaction extraction with memory network
Automatically extracting protein–protein interactions (PPIs) from biomedical literature provides additional support for precision medicine efforts. This paper proposes a novel memory network-based model (MNM) for PPI extraction, which leverages prior knowledge about protein–protein pairs with memory...
Autores principales: | Zhou, Huiwei, Liu, Zhuang, Ning, Shixian, Yang, Yunlong, Lang, Chengkun, Lin, Yingyu, Ma, Kun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6047414/ https://www.ncbi.nlm.nih.gov/pubmed/30010731 http://dx.doi.org/10.1093/database/bay071 |
Ejemplares similares
-
Knowledge-guided convolutional networks for chemical-disease relation extraction
por: Zhou, Huiwei, et al.
Publicado: (2019) -
Knowledge-enhanced biomedical named entity recognition and normalization: application to proteins and genes
por: Zhou, Huiwei, et al.
Publicado: (2020) -
Improving the recall of biomedical named entity recognition with label re-correction and knowledge distillation
por: Zhou, Huiwei, et al.
Publicado: (2021) -
Dependency-based long short term memory network for drug-drug interaction extraction
por: Wang, Wei, et al.
Publicado: (2017) -
Leveraging Prior Knowledge to Recover Characteristic Immune Regulatory Motifs in Gulf War Illness
por: Vashishtha, Saurabh, et al.
Publicado: (2020)