Predicting protein-protein interactions in Arabidopsis thaliana through integration of orthology, gene ontology and co-expression
about
A multilevel gamma-clustering layout algorithm for visualization of biological networksThe what, where, how and why of gene ontology--a primer for bioinformaticiansEvolution and applications of plant pathway resources and databasesComputational discovery of Epstein-Barr virus targeted human genes and signalling pathways.Reconstruction and Application of Protein-Protein Interaction NetworkPrediction of Protein-Protein Interactions by Evidence Combining MethodsIIS--Integrated Interactome System: a web-based platform for the annotation, analysis and visualization of protein-metabolite-gene-drug interactions by integrating a variety of data sources and toolsPersonalized characterization of diseases using sample-specific networksSystematic identification of functional plant modules through the integration of complementary data sourcesStructural bioinformatics of the interactome.An integrated approach (CLuster Analysis Integration Method) to combine expression data and protein-protein interaction networks in agrigenomics: application on Arabidopsis thalianaAssessing the gain of biological data integration in gene networks inferencePredicting whole genome protein interaction networks from primary sequence data in model and non-model organisms using ENTS.A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks.The development of a universal in silico predictor of protein-protein interactions.AtPIN: Arabidopsis thaliana protein interaction networkCORNET: a user-friendly tool for data mining and integration.Mapping plant interactomes using literature curated and predicted protein-protein interaction data sets.Across-proteome modeling of dimer structures for the bottom-up assembly of protein-protein interaction networks.PRIN: a predicted rice interactome networkComputational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiens.i-ADHoRe 3.0--fast and sensitive detection of genomic homology in extremely large data sets.Targeted interactomics reveals a complex core cell cycle machinery in Arabidopsis thalianaPredicting the fission yeast protein interaction network.AdaBoost based multi-instance transfer learning for predicting proteome-wide interactions between Salmonella and human proteinsPAIR: the predicted Arabidopsis interactome resourceTranscriptome comparison and gene coexpression network analysis provide a systems view of citrus response to 'Candidatus Liberibacter asiaticus' infection.Complementing the Eukaryotic Protein Interactome.Probability weighted ensemble transfer learning for predicting interactions between HIV-1 and human proteins.Fuzzy clustering of CPP family in plants with evolution and interaction analysesPredicted protein-protein interactions in the moss Physcomitrella patens: a new bioinformatic resourceA Network Approach of Gene Co-expression in the Zea mays/Aspergillus flavus Pathosystem to Map Host/Pathogen Interaction Pathways.Systems analysis of plant functional, transcriptional, physical interaction, and metabolic networks.A simple feature construction method for predicting upstream/downstream signal flow in human protein-protein interaction networks.Identification of MFS proteins in sorghum using semantic similarity.A predicted protein interactome identifies conserved global networks and disease resistance subnetworks in maize.Coexpression patterns indicate that GPI-anchored non-specific lipid transfer proteins are involved in accumulation of cuticular wax, suberin and sporopollenin.CORNET 2.0: integrating plant coexpression, protein-protein interactions, regulatory interactions, gene associations and functional annotations.A computational framework for distinguishing direct versus indirect interactions in human functional protein-protein interaction networks.Proteomic Profiling and the Predicted Interactome of Host Proteins in Compatible and Incompatible Interactions Between Soybean and Fusarium virguliforme.
P2860
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P2860
Predicting protein-protein interactions in Arabidopsis thaliana through integration of orthology, gene ontology and co-expression
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Predicting protein-protein int ...... ene ontology and co-expression
@ast
Predicting protein-protein int ...... ene ontology and co-expression
@en
type
label
Predicting protein-protein int ...... ene ontology and co-expression
@ast
Predicting protein-protein int ...... ene ontology and co-expression
@en
prefLabel
Predicting protein-protein int ...... ene ontology and co-expression
@ast
Predicting protein-protein int ...... ene ontology and co-expression
@en
P2093
P2860
P356
P1433
P1476
Predicting protein-protein int ...... ene ontology and co-expression
@en
P2093
Pierre Rouzé
Sebastian Proost
Stefanie De Bodt
P2860
P2888
P356
10.1186/1471-2164-10-288
P407
P577
2009-06-29T00:00:00Z
P5875
P6179
1013850136