about
Deciphering network community structure by surpriseNetwork-based prediction of protein functionHow frequently do clusters occur in hierarchical clustering analysis? A graph theoretical approach to studying ties in proximityPredicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid propertiesIdentification of leader and self-organizing communities in complex networks.Clustering PPI data by combining FA and SHC method.Development and implementation of an algorithm for detection of protein complexes in large interaction networks.Functional clustering of yeast proteins from the protein-protein interaction network.Evaluation of clustering algorithms for protein-protein interaction networks.Semantic integration to identify overlapping functional modules in protein interaction networksGrowing functional modules from a seed protein via integration of protein interaction and gene expression data.A general strategy to determine the congruence between a hierarchical and a non-hierarchical classificationA structural approach for finding functional modules from large biological networks.Interactome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell.RRW: repeated random walks on genome-scale protein networks for local cluster discoveryJerarca: efficient analysis of complex networks using hierarchical clustering.Diffusion model based spectral clustering for protein-protein interaction networks.Protein complex prediction based on k-connected subgraphs in protein interaction network.Recent advances in clustering methods for protein interaction networksAnalyses of nuclearly encoded mitochondrial genes suggest gene duplication as a mechanism for resolving intralocus sexually antagonistic conflict in Drosophila.Chapter 5: Network biology approach to complex diseases.A knowledge-based decision support system in bioinformatics: an application to protein complex extraction.MAE-FMD: multi-agent evolutionary method for functional module detection in protein-protein interaction networks.Semi-supervised multi-label collective classification ensemble for functional genomicsClustering algorithms for detecting functional modules in protein interaction networks.Going the distance for protein function prediction: a new distance metric for protein interaction networks.Protein function prediction by collective classification with explicit and implicit edges in protein-protein interaction networksSurpriseMe: an integrated tool for network community structure characterization using Surprise maximization.Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.Exploring function prediction in protein interaction networks via clustering methodsHow and when should interactome-derived clusters be used to predict functional modules and protein function?Interlog protein network: an evolutionary benchmark of protein interaction networks for the evaluation of clustering algorithms.Exploring Mouse Protein Function via Multiple Approaches.A roadmap of clustering algorithms: finding a match for a biomedical application.msiDBN: a method of identifying critical proteins in dynamic PPI networks.New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence.A classification scoring schema to validate protein interactors.Computational Prediction of Protein-Protein Interaction Networks: Algo-rithms and Resources.Exploring the limits of community detection strategies in complex networks.Surprise maximization reveals the community structure of complex networks.
P2860
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P2860
description
2004 nî lūn-bûn
@nan
2004 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Iterative cluster analysis of protein interaction data.
@ast
Iterative cluster analysis of protein interaction data.
@en
type
label
Iterative cluster analysis of protein interaction data.
@ast
Iterative cluster analysis of protein interaction data.
@en
prefLabel
Iterative cluster analysis of protein interaction data.
@ast
Iterative cluster analysis of protein interaction data.
@en
P2093
P356
P1433
P1476
Iterative cluster analysis of protein interaction data.
@en
P2093
Ignacio Marín
Sergio Mars
Vicente Arnau
P304
P356
10.1093/BIOINFORMATICS/BTI021
P407
P577
2004-09-16T00:00:00Z