Cargando…
Impact of similarity threshold on the topology of molecular similarity networks and clustering outcomes
BACKGROUND: Complex network theory based methods and the emergence of “Big Data” have reshaped the terrain of investigating structure-activity relationships of molecules. This change gave rise to new methods which need to face an important challenge, namely: how to restructure a large molecular data...
Autores principales: | Zahoránszky-Kőhalmi, Gergely, Bologa, Cristian G., Oprea, Tudor I. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4812625/ https://www.ncbi.nlm.nih.gov/pubmed/27030802 http://dx.doi.org/10.1186/s13321-016-0127-5 |
Ejemplares similares
-
Erratum to: Impact of similarity threshold on the topology of molecular similarity networks and clustering outcomes
por: Zahoránszky-Kőhalmi, Gergely, et al.
Publicado: (2016) -
SmartGraph: a network pharmacology investigation platform
por: Zahoránszky-Kőhalmi, Gergely, et al.
Publicado: (2020) -
Breaking the hierarchy - a new cluster selection mechanism for hierarchical clustering methods
por: Zahoránszky, László A, et al.
Publicado: (2009) -
The CARLSBAD Database: A Confederated Database of Chemical Bioactivities
por: Mathias, Stephen L., et al.
Publicado: (2013) -
Clustering biological sequences with dynamic sequence similarity threshold
por: Chiu, Jimmy Ka Ho, et al.
Publicado: (2022)