Mining the modular structure of protein interaction networks

Background: Cluster-based descriptions of biological networks have received much attention in recent years fostered by accumulated evidence of the existence of meaningful correlations between topological network clusters and biological functional modules. Several well-performing clustering algorithm...

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Detalles Bibliográficos
Autores principales: Berenstein, A.J., Piñero, J., Furlong, L.I., Chernomoretz, A.
Formato: JOUR
Materias:
Article
classification algorithm
controlled study
gene cluster
gene expression
genetic transcription
molecular recognition
process optimization
protein analysis
protein assembly
protein interaction
protein structure
structure analysis
aging
algorithm
cluster analysis
data mining
gene regulatory network
genetics
human
protein protein interaction
statistics and numerical data
Aging
Algorithms
Cluster Analysis
Data Mining
Gene Regulatory Networks
Humans
Protein Interaction Mapping
Protein Interaction Maps
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_19326203_v10_n4_p_Berenstein
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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