Cargando…
Investigating drug repositioning opportunities in FDA drug labels through topic modeling
BACKGROUND: Drug repositioning offers an opportunity to revitalize the slowing drug discovery pipeline by finding new uses for currently existing drugs. Our hypothesis is that drugs sharing similar side effect profiles are likely to be effective for the same disease, and thus repositioning opportuni...
Autores principales: | Bisgin, Halil, Liu, Zhichao, Kelly, Reagan, Fang, Hong, Xu, Xiaowei, Tong, Weida |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439728/ https://www.ncbi.nlm.nih.gov/pubmed/23046522 http://dx.doi.org/10.1186/1471-2105-13-S15-S6 |
Ejemplares similares
-
Mining FDA drug labels using an unsupervised learning technique - topic modeling
por: Bisgin, Halil, et al.
Publicado: (2011) -
A phenome-guided drug repositioning through a latent variable model
por: Bisgin, Halil, et al.
Publicado: (2014) -
A systems approach for analysis of high content screening assay data with topic modeling
por: Bisgin, Halil, et al.
Publicado: (2013) -
Application of dynamic topic models to toxicogenomics data
por: Lee, Mikyung, et al.
Publicado: (2016) -
GOFFA: Gene Ontology For Functional Analysis – A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data
por: Sun, Hongmei, et al.
Publicado: (2006)