Cargando…
Application of kernel functions for accurate similarity search in large chemical databases
BACKGROUND: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screening among others. It is widely believed that structure based methods provide an efficient way to do the query. Recently va...
Autores principales: | Wang, Xiaohong, Huan, Jun, Smalter, Aaron, Lushington, Gerald H |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2863067/ https://www.ncbi.nlm.nih.gov/pubmed/20438655 http://dx.doi.org/10.1186/1471-2105-11-S3-S8 |
Ejemplares similares
-
The BioAssay network and its implications to future therapeutic discovery
por: Zhang, Jintao, et al.
Publicado: (2011) -
Discriminative application of string similarity methods to chemical and non-chemical names for biomedical abbreviation clustering
por: Yamaguchi, Atsuko, et al.
Publicado: (2012) -
A scalable machine-learning approach to recognize chemical names within large text databases
por: Wren, Jonathan D
Publicado: (2006) -
Kernel score statistic for dependent data
por: Malzahn, Dörthe, et al.
Publicado: (2014) -
Efficient and accurate greedy search methods for mining functional modules in protein interaction networks
por: He, Jieyue, et al.
Publicado: (2012)