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Why do hubs in the yeast protein interaction network tend to be essential: reexamining the connection between the network topology and essentialityPredicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive ReviewStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewSpectral centrality measures in complex networksCommunicability across evolving networksBuilding disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstractsDominating biological networksRechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction NetworksA New Method for Identifying Essential Proteins Based on Network Topology Properties and Protein ComplexesComputational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction PredictionTwo betweenness centrality measures based on Randomized Shortest PathsClassification of grass pollen through the quantitative analysis of surface ornamentation and textureControlling centrality in complex networksA morphometric analysis of vegetation patterns in dryland ecosystems.BrainNetVis: an open-access tool to effectively quantify and visualize brain networks.A bio-inspired methodology of identifying influential nodes in complex networksIntegrating genome-scale data for gene essentiality prediction.A new measure of centrality for brain networksIdentification of novel genes associated with fracture healing in osteoporosis induced by Krm2 overexpression or Lrp5 deficiency.Controllability and observability analysis for vertex domination centrality in directed networks.General rules for managing and surveying networks of pests, diseases, and endangered speciesA new essential protein discovery method based on the integration of protein-protein interaction and gene expression data.Identification of essential proteins based on ranking edge-weights in protein-protein interaction networks.Integration of breast cancer gene signatures based on graph centralityIteration method for predicting essential proteins based on orthology and protein-protein interaction networksUnderstanding the influence of all nodes in a networkHow Robust Is Your Project? From Local Failures to Global Catastrophes: A Complex Networks Approach to Project Systemic RiskTopology of molecular interaction networks.Proteomics, networks and connectivity indices.Prediction of essential proteins based on gene expression programmingIdentifying essential proteins from active PPI networks constructed with dynamic gene expressionLaplacian Estrada and normalized Laplacian Estrada indices of evolving graphs.Global value trees.An ensemble framework for identifying essential proteins.Predicting essential proteins based on subcellular localization, orthology and PPI networks.Cell scale host-pathogen modeling: another branch in the evolution of constraint-based methods.Using LTI Dynamics to Identify the Influential Nodes in a NetworkGraph-theoretical model of global human interactome reveals enhanced long-range communicability in cancer networks.MORO: a Cytoscape app for relationship analysis between modularity and robustness in large-scale biological networks.Identification of key genes and pathways for peri-implantitis through the analysis of gene expression data.
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Subgraph centrality in complex networks
@ast
Subgraph centrality in complex networks
@en
Subgraph centrality in complex networks
@nl
type
label
Subgraph centrality in complex networks
@ast
Subgraph centrality in complex networks
@en
Subgraph centrality in complex networks
@nl
prefLabel
Subgraph centrality in complex networks
@ast
Subgraph centrality in complex networks
@en
Subgraph centrality in complex networks
@nl
P2860
P3181
P1433
P1476
Subgraph centrality in complex networks
@en
P2093
Juan A. Rodríguez-Velázquez
P2860
P304
P3181
P356
10.1103/PHYSREVE.71.056103
P407
P577
2005-05-01T00:00:00Z
2005-05-06T00:00:00Z
P698
P818
cond-mat/0504730