Cargando…
Which clustering algorithm is better for predicting protein complexes?
BACKGROUND: Protein-Protein interactions (PPI) play a key role in determining the outcome of most cellular processes. The correct identification and characterization of protein interactions and the networks, which they comprise, is critical for understanding the molecular mechanisms within the cell....
Autores principales: | Moschopoulos, Charalampos N, Pavlopoulos, Georgios A, Iacucci, Ernesto, Aerts, Jan, Likothanassis, Spiridon, Schneider, Reinhard, Kossida, Sophia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267700/ https://www.ncbi.nlm.nih.gov/pubmed/22185599 http://dx.doi.org/10.1186/1756-0500-4-549 |
Ejemplares similares
-
GIBA: a clustering tool for detecting protein complexes
por: Moschopoulos, Charalampos N, et al.
Publicado: (2009) -
jClust: a clustering and visualization toolbox
por: Pavlopoulos, Georgios A., et al.
Publicado: (2009) -
Using graph theory to analyze biological networks
por: Pavlopoulos, Georgios A, et al.
Publicado: (2011) -
Unraveling genomic variation from next generation sequencing data
por: Pavlopoulos, Georgios A, et al.
Publicado: (2013) -
Noise reduction in protein-protein interaction graphs by the implementation of a novel weighting scheme
por: Kritikos, George D, et al.
Publicado: (2011)