Identification of functional modules in a PPI network by clique percolation clustering.
about
Triangle network motifs predict complexes by complementing high-error interactomes with structural information.A hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profilesIdentifying protein complexes from interaction networks based on clique percolation and distance restrictionRecent advances in clustering methods for protein interaction networksAn efficient heuristic method for active feature acquisition and its application to protein-protein interaction prediction.Complex disease interventions from a network model for type 2 diabetesClustering algorithms for detecting functional modules in protein interaction networks.Network Modules of the Cross-Species Genotype-Phenotype Map Reflect the Clinical Severity of Human DiseasesThe essential and downstream common proteins of amyotrophic lateral sclerosis: A protein-protein interaction network analysis.Gene module level analysis: identification to networks and dynamics.Navigating traditional chinese medicine network pharmacology and computational tools.Breaking the hierarchy--a new cluster selection mechanism for hierarchical clustering methods.ModuleSearch: finding functional modules in a protein-protein interaction network.Functional diversity of topological modules in human protein-protein interaction networks.A Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel Drugs
P2860
Q33475174-0CA07FA7-9BB6-4E72-AB83-D1759A37164DQ33528198-F17D39DA-3730-4352-9B65-C1A2E4C2A291Q33736999-F53B3B6D-F58F-4871-9AD6-43495330DDBEQ33766571-9EEFBBD8-B60F-4BFD-91BD-66C661EB2FC1Q34485758-A5C7FC29-3272-4A4A-B810-6BDF7CDF2CAEQ34776002-EB3061F8-1BE7-451D-B512-92C55D8C85D5Q34947957-446C3EFC-5DF5-4C51-92E4-21A5B654F133Q35753618-9DADCC2F-18D0-4CD8-B83F-17E6F305A87FQ36304197-0637F22E-7198-4786-B325-6CF5E8567B71Q37041547-1D4FF5E4-5607-40A2-87BA-C663A729274AQ37105281-BA242318-4B0F-4445-BCBA-C7F6BFFA17C9Q37414243-7DC31F90-AFE6-475C-9E0D-7A08EAAC64B3Q42612404-19DDB3EC-62A2-416A-8C53-39559746DD1EQ47136082-817BB134-9E46-4DDF-A1B7-CBD6D173FF41Q58696412-0FB1787C-B258-4BBE-829D-2C02E24CF7EF
P2860
Identification of functional modules in a PPI network by clique percolation clustering.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Identification of functional modules in a PPI network by clique percolation clustering.
@en
Identification of functional modules in a PPI network by clique percolation clustering.
@nl
type
label
Identification of functional modules in a PPI network by clique percolation clustering.
@en
Identification of functional modules in a PPI network by clique percolation clustering.
@nl
prefLabel
Identification of functional modules in a PPI network by clique percolation clustering.
@en
Identification of functional modules in a PPI network by clique percolation clustering.
@nl
P2093
P1476
Identification of functional modules in a PPI network by clique percolation clustering.
@en
P2093
Shihua Zhang
Xiang-Sun Zhang
Xuemei Ning
P304
P356
10.1016/J.COMPBIOLCHEM.2006.10.001
P577
2006-11-13T00:00:00Z