Development and implementation of an algorithm for detection of protein complexes in large interaction networks.
about
Local network topology in human protein interaction data predicts functional associationKaPPA-View4: a metabolic pathway database for representation and analysis of correlation networks of gene co-expression and metabolite co-accumulation and omics dataNetwork-based prediction of protein functionReview on Graph Clustering and Subgraph Similarity Based Analysis of Neurological DisordersA Glimpse to Background and Characteristics of Major Molecular Biological NetworksDevelopment and mining of a volatile organic compound databaseBenchmarking human protein complexes to investigate drug-related systems and evaluate predicted protein complexesIntegrated network analysis and effective tools in plant systems biology.The relative vertex clustering value--a new criterion for the fast discovery of functional modules in protein interaction networksEfficient and accurate Greedy Search Methods for mining functional modules in protein interaction networksConstruction of co-complex score matrix for protein complex prediction from AP-MS data.Construction and application of dynamic protein interaction network based on time course gene expression data.Detection of protein complexes from affinity purification/mass spectrometry data.Identifying protein complexes from heterogeneous biological data.Systems biology in the context of big data and networks.Network inference from AP-MS data: computational challenges and solutions.Inferring protein function by domain context similarities in protein-protein interaction networks.Which clustering algorithm is better for predicting protein complexes?Heterodimeric protein complex identification by naïve Bayes classifiers.Evaluation of clustering algorithms for protein-protein interaction networks.Semantic integration to identify overlapping functional modules in protein interaction networksHigh-precision high-coverage functional inference from integrated data sourcesModifying the DPClus algorithm for identifying protein complexes based on new topological structures.An evolutionary and structural characterization of mammalian protein complex organization.Core and periphery structures in protein interaction networksA core-attachment based method to detect protein complexes in PPI networks.Large-scale analysis of Arabidopsis transcription reveals a basal co-regulation networkNeMo: Network Module identification in Cytoscape.Computational approaches for detecting protein complexes from protein interaction networks: a survey.Genes related to the very early stage of ConA-induced fulminant hepatitis: a gene-chip-based study in a mouse model.Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins.Jerarca: efficient analysis of complex networks using hierarchical clustering.Discovering conditional co-regulated protein complexes by integrating diverse data sources.Protein complex prediction based on k-connected subgraphs in protein interaction network.Identifying protein complexes from interaction networks based on clique percolation and distance restrictionIdentifying dynamic protein complexes based on gene expression profiles and PPI networks.Recent advances in clustering methods for protein interaction networksExploring hierarchical and overlapping modular structure in the yeast protein interaction network.Coexpression analysis of tomato genes and experimental verification of coordinated expression of genes found in a functionally enriched coexpression module.SPICi: a fast clustering algorithm for large biological networks
P2860
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P2860
Development and implementation of an algorithm for detection of protein complexes in large interaction networks.
description
2006 nî lūn-bûn
@nan
2006 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Development and implementation ...... in large interaction networks.
@ast
Development and implementation ...... in large interaction networks.
@en
type
label
Development and implementation ...... in large interaction networks.
@ast
Development and implementation ...... in large interaction networks.
@en
prefLabel
Development and implementation ...... in large interaction networks.
@ast
Development and implementation ...... in large interaction networks.
@en
P2093
P2860
P356
P1433
P1476
Development and implementation ...... in large interaction networks.
@en
P2093
Ken Kurokawa
Kenji Mihara
Md Altaf-Ul-Amin
Shigehiko Kanaya
Yoko Shinbo
P2860
P2888
P356
10.1186/1471-2105-7-207
P577
2006-04-14T00:00:00Z
P5875
P6179
1041338184