Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data
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Dominating biological networksNetwork topology reveals key cardiovascular disease genesDistinctive Behaviors of Druggable Proteins in Cellular NetworksExploring the structure and function of temporal networks with dynamic graphletsGraphlet signature-based scoring method to estimate protein-ligand binding affinityThe post-genomic era of biological network alignmentIntegration of molecular network data reconstructs Gene OntologyProtein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasetsIdentifying the gene signatures from gene-pathway bipartite network guarantees the robust model performance on predicting the cancer prognosis.Functional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks.Predicting disease associations via biological network analysis.A systems biology approach to the global analysis of transcription factors in colorectal cancer.Interactogeneous: disease gene prioritization using heterogeneous networks and full topology scores.Topology of molecular interaction networks.Disentangling function from topology to infer the network properties of disease genes.GraphCrunch 2: Software tool for network modeling, alignment and clustering.Characterization of regulatory features of housekeeping and tissue-specific regulators within tissue regulatory networks.Revealing missing parts of the interactome via link prediction.Fair evaluation of global network alignersGene expression profiling of ovarian carcinomas and prognostic analysis of outcome.Exploiting ontology graph for predicting sparsely annotated gene function.Graphlet-based edge clustering reveals pathogen-interacting proteins.Graph-theoretical model of global human interactome reveals enhanced long-range communicability in cancer networks.Genome-wide profiling of 24 hr diel rhythmicity in the water flea, Daphnia pulex: network analysis reveals rhythmic gene expression and enhances functional gene annotationPROSNET: INTEGRATING HOMOLOGY WITH MOLECULAR NETWORKS FOR PROTEIN FUNCTION PREDICTION.Survey of network-based approaches to research of cardiovascular diseases.Protein-protein interactions: making sense of networks via graph-theoretic modeling.Protein-protein interaction networks (PPI) and complex diseases.Dynamic networks reveal key players in aging.Identification of human disease genes from interactome network using graphlet interaction.Predicting potential cancer genes by integrating network properties, sequence features and functional annotations.A combinatorial approach to graphlet counting.MAGNA: Maximizing Accuracy in Global Network Alignment.Large-scale analysis of disease pathways in the human interactome.Network wiring of pleiotropic kinases yields insight into protective role of diabetes on aneurysm.IncGraph: Incremental graphlet counting for topology optimisation.
P2860
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P2860
Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին 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
Systems-level cancer gene iden ...... lated functional genomics data
@ast
Systems-level cancer gene iden ...... lated functional genomics data
@en
Systems-level cancer gene iden ...... lated functional genomics data
@nl
type
label
Systems-level cancer gene iden ...... lated functional genomics data
@ast
Systems-level cancer gene iden ...... lated functional genomics data
@en
Systems-level cancer gene iden ...... lated functional genomics data
@nl
prefLabel
Systems-level cancer gene iden ...... lated functional genomics data
@ast
Systems-level cancer gene iden ...... lated functional genomics data
@en
Systems-level cancer gene iden ...... lated functional genomics data
@nl
P2093
P2860
P3181
P356
P1476
Systems-level cancer gene iden ...... lated functional genomics data
@en
P2093
Anand K Ganesan
Tijana Milenkovic
Vesna Memisevic
P2860
P304
P3181
P356
10.1098/RSIF.2009.0192
P407
P577
2010-03-06T00:00:00Z