Walking the interactome for prioritization of candidate disease genes.
about
Linked vaccine adverse event data from VAERS for biomedical data analysis and longitudinal studiesExperimental characterization of the human non-sequence-specific nucleic acid interactomeIn silico gene prioritization by integrating multiple data sourcesAdvances in translational bioinformatics: computational approaches for the hunting of disease genesSTRING 8--a global view on proteins and their functional interactions in 630 organismsRanking candidate disease genes from gene expression and protein interaction: a Katz-centrality based approachReview on Graph Clustering and Subgraph Similarity Based Analysis of Neurological DisordersUnderstanding Genotype-Phenotype Effects in Cancer via Network ApproachesFundamentals of protein interaction network mappingMethods for biological data integration: perspectives and challengesThe shortest path is not the one you know: application of biological network resources in precision oncology researchAnnotating individual human genomesStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewOptimizing drug–target interaction prediction based on random walk on heterogeneous networksRecent Advances and Emerging Applications in Text and Data Mining for Biomedical DiscoveryPARP9 and PARP14 cross-regulate macrophage activation via STAT1 ADP-ribosylationAssociating genes and protein complexes with disease via network propagationIdentifying causal genes and dysregulated pathways in complex diseasesTargetMine, an integrated data warehouse for candidate gene prioritisation and target discoveryDrug target prediction and repositioning using an integrated network-based approachPrediction and validation of gene-disease associations using methods inspired by social network analysesA target-disease network model of second-generation BCR-ABL inhibitor action in Ph+ ALLA DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactomeA Network-Based Target Overlap Score for Characterizing Drug Combinations: High Correlation with Cancer Clinical Trial ResultsIdentification of New Candidate Genes and Chemicals Related to Esophageal Cancer Using a Hybrid Interaction Network of Chemicals and ProteinsPredicting Pharmacodynamic Drug-Drug Interactions through Signaling Propagation Interference on Protein-Protein Interaction NetworksA Pan-Cancer Catalogue of Cancer Driver Protein Interaction InterfacesGenetic variants in Alzheimer disease - molecular and brain network approachesNavigability of interconnected networks under random failuresWalking on a tissue-specific disease-protein-complex heterogeneous network for the discovery of disease-related protein complexesBioinformatics for personal genome interpretationEvaluating diabetes and hypertension disease causality using mouse phenotypesCollaboratively charting the gene-to-phenotype network of human congenital heart defectsNetwork medicine: a network-based approach to human diseaseMolecular mechanistic associations of human diseasesNetwork analysis of the focal adhesion to invadopodia transition identifies a PI3K-PKCα invasive signaling axisDisease gene identification by random walk on multigraphs merging heterogeneous genomic and phenotype data.Reconciling differential gene expression data with molecular interaction networksComputational solutions for omics data.Network-based analysis of genome wide association data provides novel candidate genes for lipid and lipoprotein traits.
P2860
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P2860
Walking the interactome for prioritization of candidate disease genes.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Walking the interactome for prioritization of candidate disease genes.
@en
Walking the interactome for prioritization of candidate disease genes.
@nl
type
label
Walking the interactome for prioritization of candidate disease genes.
@en
Walking the interactome for prioritization of candidate disease genes.
@nl
prefLabel
Walking the interactome for prioritization of candidate disease genes.
@en
Walking the interactome for prioritization of candidate disease genes.
@nl
P2860
P1476
Walking the interactome for prioritization of candidate disease genes.
@en
P2093
Denise Horn
Sebastian Bauer
P2860
P304
P356
10.1016/J.AJHG.2008.02.013
P407
P577
2008-03-27T00:00:00Z