An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods

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An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods is …
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scholarly articleQ13442814

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P8978DBLP publication IDjournals/artmed/ValentiniPCRR14
P356DOI10.1016/J.ARTMED.2014.03.003
P932PMC publication ID4070077
P698PubMed publication ID24726035
P5875ResearchGate publication ID260993970

P50authorAlfonso E. RomeroQ47502477
Matteo ReQ50697072
Giorgio ValentiniQ50697083
P2093author name stringAlberto Paccanaro
Horacio Caniza
P2860cites workNetwork-based drug ranking and repositioning with respect to DrugBank therapeutic categories.Q50697014
A similarity-based method for genome-wide prediction of disease-relevant human genes.Q52030251
Guilt-by-association goes globalQ59048545
An integrated probabilistic model for functional prediction of proteinsQ80400967
In silico gene prioritization by integrating multiple data sourcesQ21558505
Gene ontology: tool for the unification of biologyQ23781406
KEGG: Kyoto Encyclopedia of Genes and GenomesQ24548371
POCUS: mining genomic sequence annotation to predict disease genesQ24793367
The BioGRID interaction database: 2013 updateQ28280503
Network medicine: a network-based approach to human diseaseQ29547462
McKusick's Online Mendelian Inheritance in Man (OMIM)Q29614446
Interactome networks and human diseaseQ29615773
Protein interactions and disease: computational approaches to uncover the etiology of diseases.Q30362952
eXtasy: variant prioritization by genomic data fusion.Q30670608
Association of genes to genetically inherited diseases using data miningQ30692445
A data integration methodology for systems biologyQ31020019
TEAM: a tool for the integration of expression, and linkage and association mapsQ31053596
Kernel-based data fusion for gene prioritizationQ31119507
Gene prioritization through genomic data fusionQ33242612
Linking genes to diseases: it's all in the data.Q33493193
Integration of multiple data sources to prioritize candidate genes using discounted rating systemQ33528193
A human functional protein interaction network and its application to cancer data analysisQ33581341
Fast integration of heterogeneous data sources for predicting gene function with limited annotationQ33589645
The power of protein interaction networks for associating genes with diseasesQ33785541
Biofilter: a knowledge-integration system for the multi-locus analysis of genome-wide association studies.Q33810312
Prioritizing candidate disease genes by network-based boosting of genome-wide association data.Q33887815
Constructing a robust protein-protein interaction network by integrating multiple public databasesQ34099772
Improving disease gene prioritization using the semantic similarity of Gene Ontology termsQ34110510
Constructing a gene semantic similarity network for the inference of disease genesQ34333432
A module map showing conditional activity of expression modules in cancerQ34353143
Cancer module genes ranking using kernelized score functionsQ34456928
Interactogeneous: disease gene prioritization using heterogeneous networks and full topology scoresQ34490301
Interpretation of genomic variants using a unified biological network approachQ34625256
Chapter 15: disease gene prioritizationQ34697737
ToppGene Suite for gene list enrichment analysis and candidate gene prioritizationQ34982758
Translational disease interpretation with molecular networks.Q34991710
A probabilistic view of gene function.Q35787244
The Comparative Toxicogenomics Database: update 2013.Q36491395
Linking genes to literature: text mining, information extraction, and retrieval applications for biologyQ36920203
Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?Q37342472
A network medicine approach to human diseaseQ37408792
Molecular networks as sensors and drivers of common human diseasesQ37594580
Computational approaches to disease-gene prediction: rationale, classification and successes.Q37973492
Computational tools for prioritizing candidate genes: boosting disease gene discoveryQ38023145
Evidence for network evolution in an Arabidopsis interactome map.Q38367823
Improving GO semantic similarity measures by exploring the ontology beneath the terms and modelling uncertaintyQ38472907
A weighted power framework for integrating multisource information: gene function prediction in yeastQ38498454
Detecting disease genes based on semi-supervised learning and protein-protein interaction networksQ38500347
Gene function prediction from synthetic lethality networks via ranking on demandQ38507381
Comparison of vocabularies, representations and ranking algorithms for gene prioritization by text mining.Q38512936
Reconstruction of a functional human gene network, with an application for prioritizing positional candidate genesQ38518470
An atlas of tissue-specific conserved coexpression for functional annotation and disease gene predictionQ38775502
Walking the interactome for prioritization of candidate disease genesQ39140568
Exploring candidate genes for human brain diseases from a brain-specific gene networkQ40288395
JIGSAW: integration of multiple sources of evidence for gene predictionQ42664140
A fast ranking algorithm for predicting gene functions in biomolecular networksQ43835790
Sensitivity analysis of kappa-fold cross validation in prediction error estimation.Q45963164
Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritizationQ47252526
P433issue2
P921main subjectprioritizationQ11888847
P304page(s)63-78
P577publication date2014-03-20
P1433published inArtificial Intelligence in MedicineQ15751143
P1476titleAn extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods
P478volume61

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cites work (P2860)
Q56975997A Hierarchical Ensemble Method for DAG-Structured Taxonomies
Q93073859Benchmarking network propagation methods for disease gene identification
Q57283582Context-enriched interactome powered by proteomics helps the identification of novel regulators of macrophage activation
Q36329373DIGNiFI: Discovering causative genes for orphan diseases using protein-protein interaction networks
Q30979471Heterogeneous Network Edge Prediction: A Data Integration Approach to Prioritize Disease-Associated Genes
Q91776481Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings
Q92874799Knowledge-guided analysis of "omics" data using the KnowEnG cloud platform
Q89926626Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
Q56976002Prediction of Human Gene - Phenotype Associations by Exploiting the Hierarchical Structure of the Human Phenotype Ontology
Q42376683Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods
Q35287033Prioritisation and network analysis of Crohn's disease susceptibility genes
Q39713708RANKS: a flexible tool for node label ranking and classification in biological networks
Q58051447Searching the overlap between network modules with specific betweeness (S2B) and its application to cross-disease analysis
Q38266033The role of protein interaction networks in systems biomedicine.

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