Predicting protein complex membership using probabilistic network reliability.
about
Biomedical discovery acceleration, with applications to craniofacial developmentNetwork-based prediction of protein functionPredicting co-complexed protein pairs using genomic and proteomic data integrationFiltering high-throughput protein-protein interaction data using a combination of genomic featuresDiscovery of biological networks from diverse functional genomic data.Network integration and graph analysis in mammalian molecular systems biologyHAPPI: an online database of comprehensive human annotated and predicted protein interactionsSpectral affinity in protein networks.Global protein function annotation through mining genome-scale data in yeast Saccharomyces cerevisiaeContext-sensitive data integration and prediction of biological networks.Identifying metabolic enzymes with multiple types of association evidence.Functional clustering of yeast proteins from the protein-protein interaction network.A high-accuracy consensus map of yeast protein complexes reveals modular nature of gene essentiality.Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks.High-precision high-coverage functional inference from integrated data sourcesDiscovering functional interaction patterns in protein-protein interaction networks.RRW: repeated random walks on genome-scale protein networks for local cluster discoveryA simple technique for the prediction of interacting proteins reveals a direct Brn-3a-androgen receptor interaction.Predicting direct protein interactions from affinity purification mass spectrometry data.Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.Biomine: predicting links between biological entities using network models of heterogeneous databases.Chapter 5: Network biology approach to complex diseases.Clustering algorithms for detecting functional modules in protein interaction networks.How and when should interactome-derived clusters be used to predict functional modules and protein function?The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics.Protein complexes predictions within protein interaction networks using genetic algorithms.Clustering and Network Analysis of Reverse Phase Protein Array Data.Probabilistic assembly of human protein interaction networks from label-free quantitative proteomics.Combining multiple positive training sets to generate confidence scores for protein-protein interactionsFully automated protein complex prediction based on topological similarity and community structure.Protein-protein interaction detection: methods and analysis.A novel link prediction algorithm for reconstructing protein-protein interaction networks by topological similarity.Protein complex analysis: From raw protein lists to protein interaction networks.Protein-protein interactions: detection, reliability assessment and applications.Accurate and scalable techniques for the complex/pathway membership problem in protein networks.Differential connectivity of splicing activators and repressors to the human spliceosome.Finding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions.Assessing and combining reliability of protein interaction sources.FunPred-1: protein function prediction from a protein interaction network using neighborhood analysis.Detecting protein complexes based on relevancy from protein interaction networks.
P2860
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P2860
Predicting protein complex membership using probabilistic network reliability.
description
2004 nî lūn-bûn
@nan
2004 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի մայիսին 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
Predicting protein complex membership using probabilistic network reliability.
@ast
Predicting protein complex membership using probabilistic network reliability.
@en
Predicting protein complex membership using probabilistic network reliability.
@nl
type
label
Predicting protein complex membership using probabilistic network reliability.
@ast
Predicting protein complex membership using probabilistic network reliability.
@en
Predicting protein complex membership using probabilistic network reliability.
@nl
prefLabel
Predicting protein complex membership using probabilistic network reliability.
@ast
Predicting protein complex membership using probabilistic network reliability.
@en
Predicting protein complex membership using probabilistic network reliability.
@nl
P2093
P2860
P356
P1433
P1476
Predicting protein complex membership using probabilistic network reliability.
@en
P2093
Francis D Gibbons
Oliver D King
Saurabh Asthana
P2860
P304
P356
10.1101/GR.2203804
P577
2004-05-12T00:00:00Z