Cargando…
A pipeline to extract drug-adverse event pairs from multiple data sources
BACKGROUND: Pharmacovigilance aims to uncover and understand harmful side-effects of drugs, termed adverse events (AEs). Although the current process of pharmacovigilance is very systematic, the increasing amount of information available in specialized health-related websites as well as the exponent...
Autores principales: | Yeleswarapu, SriJyothsna, Rao, Aditya, Joseph, Thomas, Saipradeep, Vangala Govindakrishnan, Srinivasan, Rajgopal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936866/ https://www.ncbi.nlm.nih.gov/pubmed/24559132 http://dx.doi.org/10.1186/1472-6947-14-13 |
Ejemplares similares
-
PRIORI-T: A tool for rare disease gene prioritization using MEDLINE
por: Rao, Aditya, et al.
Publicado: (2020) -
TPX: Biomedical literature search made easy
por: Joseph, Thomas, et al.
Publicado: (2012) -
Phenotype-driven gene prioritization for rare diseases using graph convolution on heterogeneous networks
por: Rao, Aditya, et al.
Publicado: (2018) -
An Integrated Pipeline of Open Source Software Adapted for Multi-CPU Architectures: Use in the Large-Scale Identification of Single Nucleotide Polymorphisms
por: Jayashree, B., et al.
Publicado: (2007) -
Addressing multiple bit/symbol errors in DRAM subsystem
por: Yeleswarapu, Ravikiran, et al.
Publicado: (2021)