Cargando…
Exploring biological interaction networks with tailored weighted quasi-bicliques
BACKGROUND: Biological networks provide fundamental insights into the functional characterization of genes and their products, the characterization of DNA-protein interactions, the identification of regulatory mechanisms, and other biological tasks. Due to the experimental and biological complexity,...
Autores principales: | Chang, Wen-Chieh, Vakati, Sudheer, Krause, Roland, Eulenstein, Oliver |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3314588/ https://www.ncbi.nlm.nih.gov/pubmed/22759421 http://dx.doi.org/10.1186/1471-2105-13-S10-S16 |
Ejemplares similares
-
Generative probabilistic models for protein–protein interaction networks—the biclique perspective
por: Schweiger, Regev, et al.
Publicado: (2011) -
Biclique: an R package for maximal biclique enumeration in bipartite graphs
por: Lu, Yuping, et al.
Publicado: (2020) -
XcisClique: analysis of regulatory bicliques
por: Pati, Amrita, et al.
Publicado: (2006) -
Algorithms: simultaneous error-correction and rooting for gene tree reconciliation and the gene duplication problem
por: Górecki, Pawel, et al.
Publicado: (2012) -
Refining discordant gene trees
por: Górecki, Pawel, et al.
Publicado: (2014)