Cargando…
Automatic extraction of gene-disease associations from literature using joint ensemble learning
A wealth of knowledge concerning relations between genes and its associated diseases is present in biomedical literature. Mining these biological associations from literature can provide immense support to research ranging from drug-targetable pathways to biomarker discovery. However, time and cost...
Autores principales: | Bhasuran, Balu, Natarajan, Jeyakumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6061985/ https://www.ncbi.nlm.nih.gov/pubmed/30048465 http://dx.doi.org/10.1371/journal.pone.0200699 |
Ejemplares similares
-
BCC-NER: bidirectional, contextual clues named entity tagger for gene/protein mention recognition
por: Murugesan, Gurusamy, et al.
Publicado: (2017) -
Deep ensemble learning for automatic medicinal leaf identification
por: Sachar, Silky, et al.
Publicado: (2022) -
Ensemble machine learning cookbook: over 35 practical recipes to explore ensemble machine learning techniques using Python
por: Sarkar, Dipayan, et al.
Publicado: (2019) -
Distributed smoothed tree kernel for protein-protein interaction extraction from the biomedical literature
por: Murugesan, Gurusamy, et al.
Publicado: (2017) -
An automatic method for removing empty camera trap images using ensemble learning
por: Yang, Deng‐Qi, et al.
Publicado: (2021)