The power of protein interaction networks for associating genes with diseases.
about
Ranking candidate disease genes from gene expression and protein interaction: a Katz-centrality based approachFundamentals of protein interaction network mappingStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewThe emerging paradigm of network medicine in the study of human diseaseRanking transitive chemical-disease inferences using local network topology in the comparative toxicogenomics databaseDrug target prediction and repositioning using an integrated network-based approachSemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional associationA DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactomeDeciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin ActionBioinformatics for personal genome interpretationNetwork medicine: a network-based approach to human diseaseComputational solutions for omics data.Network-based analysis of genome wide association data provides novel candidate genes for lipid and lipoprotein traits.Network analysis of GWAS dataNetwork based integrated analysis of phenotype-genotype data for prioritization of candidate symptom genesJumping across biomedical contexts using compressive data fusion.Mining breast cancer genes with a network based noise-tolerant approachFusing literature and full network data improves disease similarity computation.GLADIATOR: a global approach for elucidating disease modules.An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network.Factors affecting interactome-based prediction of human genes associated with clinical signs.Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes.Integrating multi-omics for uncovering the architecture of cross-talking pathways in breast cancer.Improving disease gene prioritization using the semantic similarity of Gene Ontology termsPrioritizing disease candidate genes by a gene interconnectedness-based approachIntegration strategy is a key step in network-based analysis and dramatically affects network topological properties and inferring outcomes.Network biology methods integrating biological data for translational scienceDrug repositioning through incomplete bi-cliques in an integrated drug-target-disease network.Biomine: predicting links between biological entities using network models of heterogeneous databases.Genes2FANs: connecting genes through functional association networks.A network-based approach for predicting missing pathway interactions.Exploiting protein-protein interaction networks for genome-wide disease-gene prioritizationText mining in cancer gene and pathway prioritization.Insights into the pathogenesis of axial spondyloarthropathy from network and pathway analysisWalking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases.An efficient heuristic method for active feature acquisition and its application to protein-protein interaction prediction.Interactogeneous: disease gene prioritization using heterogeneous networks and full topology scores.Prediction of disease-related genes based on weighted tissue-specific networks by using DNA methylationPivotal role of the muscle-contraction pathway in cryptorchidism and evidence for genomic connections with cardiomyopathy pathways in RASopathies.
P2860
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P2860
The power of protein interaction networks for associating genes with diseases.
description
2010 nî lūn-bûn
@nan
2010 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
The power of protein interaction networks for associating genes with diseases.
@ast
The power of protein interaction networks for associating genes with diseases.
@en
type
label
The power of protein interaction networks for associating genes with diseases.
@ast
The power of protein interaction networks for associating genes with diseases.
@en
prefLabel
The power of protein interaction networks for associating genes with diseases.
@ast
The power of protein interaction networks for associating genes with diseases.
@en
P2860
P356
P1433
P1476
The power of protein interaction networks for associating genes with diseases.
@en
P2093
Carl Kingsford
Saket Navlakha
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ076
P407
P577
2010-02-24T00:00:00Z