Assessing the limits of genomic data integration for predicting protein networks.
about
Integration of miRNA and protein profiling reveals coordinated neuroadaptations in the alcohol-dependent mouse brainCluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasisCost-effective strategies for completing the interactomeMIPS: analysis and annotation of proteins from whole genomes in 2005.Proteomic approaches and identification of novel therapeutic targets for alcoholismA critical assessment of Mus musculus gene function prediction using integrated genomic evidence.Annotating novel genes by integrating synthetic lethals and genomic information.Prediction and analysis of the protein interactome in Pseudomonas aeruginosa to enable network-based drug target selectionComputational and informatics strategies for identification of specific protein interaction partners in affinity purification mass spectrometry experimentsGlobal geometric affinity for revealing high fidelity protein interaction networkAn FPT approach for predicting protein localization from yeast genomic dataData integration in genetics and genomics: methods and challengesStructural bioinformatics of the interactome.Integrative approaches to the prediction of protein functions based on the feature selection.Discovering novel subsystems using comparative genomics.Assessing the gain of biological data integration in gene networks inferenceAccounting for redundancy when integrating gene interaction databasesAucPR: an AUC-based approach using penalized regression for disease prediction with high-dimensional omics dataA database and tool, IM Browser, for exploring and integrating emerging gene and protein interaction data for Drosophila.Integration of omics data: how well does it work for bacteria?Probabilistic protein function prediction from heterogeneous genome-wide data.A Bayesian integrative approach for multi-platform genomic data: A kidney cancer case study.Prediction of yeast protein-protein interaction network: insights from the Gene Ontology and annotations.IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model.Reconstruction of human protein interolog network using evolutionary conserved network.Probabilistic prediction and ranking of human protein-protein interactions.InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic genomes.Genome-wide inference of protein interaction sites: lessons from the yeast high-quality negative protein-protein interaction dataset.Predicting and validating protein interactions using network structure.Origin of co-expression patterns in E. coli and S. cerevisiae emerging from reverse engineering algorithmsA Bayesian integration model of high-throughput proteomics and metabolomics data for improved early detection of microbial infections.Uncovering the rules for protein-protein interactions from yeast genomic data.Integrated assessment of genomic correlates of protein evolutionary rate.Predicting protein-protein interactions in Arabidopsis thaliana through integration of orthology, gene ontology and co-expressionInteractome and Gene Ontology provide congruent yet subtly different views of a eukaryotic cell.Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels.Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide dataInference of functional relations in predicted protein networks with a machine learning approach.VIBE 2.0: visual integration for bayesian evaluation.Response of the mosquito protein interaction network to dengue infection
P2860
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P2860
Assessing the limits of genomic data integration for predicting protein networks.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Assessing the limits of genomic data integration for predicting protein networks.
@ast
Assessing the limits of genomic data integration for predicting protein networks.
@en
type
label
Assessing the limits of genomic data integration for predicting protein networks.
@ast
Assessing the limits of genomic data integration for predicting protein networks.
@en
prefLabel
Assessing the limits of genomic data integration for predicting protein networks.
@ast
Assessing the limits of genomic data integration for predicting protein networks.
@en
P2093
P2860
P356
P1433
P1476
Assessing the limits of genomic data integration for predicting protein networks.
@en
P2093
Alberto Paccanaro
Haiyuan Yu
P2860
P304
P356
10.1101/GR.3610305
P577
2005-07-01T00:00:00Z