Combining functional and topological properties to identify core modules in protein interaction networks.
about
Semantic similarity in biomedical ontologiesVisualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and futureProbing the extent of randomness in protein interaction networksDetecting overlapping protein complexes based on a generative model with functional and topological propertiesNetwork integration and graph analysis in mammalian molecular systems biologyModule-based association analysis for omics data with network structure.Revealing and avoiding bias in semantic similarity scores for protein pairs.Which clustering algorithm is better for predicting protein complexes?Semantic integration to identify overlapping functional modules in protein interaction networksDisease candidate gene identification and prioritization using protein interaction networksBiological process linkage networksInfluence of protein abundance on high-throughput protein-protein interaction detection.Computational approaches for detecting protein complexes from protein interaction networks: a survey.A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.Recent advances in clustering methods for protein interaction networksIdentifying hierarchical and overlapping protein complexes based on essential protein-protein interactions and "seed-expanding" method.Discovery of protein interaction networks shared by diseasesNoise reduction in protein-protein interaction graphs by the implementation of a novel weighting schemeCategorizing biases in high-confidence high-throughput protein-protein interaction data sets.Integration strategy is a key step in network-based analysis and dramatically affects network topological properties and inferring outcomes.From networks of protein interactions to networks of functional dependenciesGene network modular-based classification of microarray samples.A systems biology approach to the global analysis of transcription factors in colorectal cancer.Identifying protein complexes based on density and modularity in protein-protein interaction network.A density-based clustering approach for identifying overlapping protein complexes with functional preferencesDetecting Protein Complexes in Protein Interaction Networks Modeled as Gene Expression Biclusters.Protein fabrication automationComparative evolutionary analysis of protein complexes in E. coli and yeast.An effective approach to detecting both small and large complexes from protein-protein interaction networks.Investigating topological and functional features of multimodular proteins.Protein complex discovery by interaction filtering from protein interaction networks using mutual rank coexpression and sequence similarity.InteroPORC: automated inference of highly conserved protein interaction networks.CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations.MTGO: PPI Network Analysis Via Topological and Functional Module Identification.Protein Network Analysis for Disease Gene Identification and Prioritization
P2860
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P2860
Combining functional and topological properties to identify core modules in protein interaction networks.
description
2006 nî lūn-bûn
@nan
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
2006年论文
@zh
2006年论文
@zh-cn
name
Combining functional and topol ...... protein interaction networks.
@en
type
label
Combining functional and topol ...... protein interaction networks.
@en
prefLabel
Combining functional and topol ...... protein interaction networks.
@en
P356
P1433
P1476
Combining functional and topol ...... n protein interaction networks
@en
P2093
Jonas Gamalielsson
P304
P356
10.1002/PROT.21071
P407
P577
2006-09-01T00:00:00Z