BioNet: an R-Package for the functional analysis of biological networks.
about
Integration of 'omics' data in aging research: from biomarkers to systems biologyNetwork biomarkers reveal dysfunctional gene regulations during disease progressionIntegrative approaches for finding modular structure in biological networksSystems analysis of high-throughput dataEffects of Gene Dose, Chromatin, and Network Topology on Expression in Drosophila melanogasterQuantitative Proteomics Reveals Ecophysiological Effects of Light and Silver Stress on the Mixotrophic Protist Poterioochromonas malhamensisCausal Modeling of Cancer-Stromal Communication Identifies PAPPA as a Novel Stroma-Secreted Factor Activating NFκB Signaling in Hepatocellular CarcinomaNetwork Analysis of Genome-Wide Selective Constraint Reveals a Gene Network Active in Early Fetal Brain Intolerant of MutationIdentification of rifampin-regulated functional modules and related microRNAs in human hepatocytes based on the protein interaction networkAn integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathwaysMycPermCheck: the Mycobacterium tuberculosis permeability prediction tool for small molecules.Reconciling differential gene expression data with molecular interaction networksFunctional module search in protein networks based on semantic similarity improves the analysis of proteomics data.NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data.Metabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration.Effects of silver nitrate and silver nanoparticles on a planktonic community: general trends after short-term exposure.GWAS of self-reported mosquito bite size, itch intensity and attractiveness to mosquitoes implicates immune-related predisposition lociSLICE: determining cell differentiation and lineage based on single cell entropy.PRMT2 and RORγ expression are associated with breast cancer survival outcomes.Broad DNA methylation changes of spermatogenesis, inflammation and immune response-related genes in a subgroup of sperm samples for assisted reproductionOn the performance of de novo pathway enrichment.A systems biology analysis of brain microvascular endothelial cell lipotoxicityPatient-specific data fusion defines prognostic cancer subtypesNetwork-based functional enrichment.Integrated pathway modules using time-course metabolic profiles and EST data from Milnesium tardigradumNetwork analysis identifies a putative role for the PPAR and type 1 interferon pathways in glucocorticoid actions in asthmaticsConcerted perturbation observed in a hub network in Alzheimer's diseaseAssessment of subnetwork detection methods for breast cancerDefining the transcriptional and cellular landscape of type 1 diabetes in the NOD mouseSteiner tree methods for optimal sub-network identification: an empirical study.A predicted functional gene network for the plant pathogen Phytophthora infestans as a framework for genomic biologyInteractome mapping reveals important pathways in skeletal muscle development of pigs.NetWeAvers: an R package for integrative biological network analysis with mass spectrometry data.Network representations of immune system complexity.SANTA: quantifying the functional content of molecular networks.Stimulus-dependent differences in signalling regulate epithelial-mesenchymal plasticity and change the effects of drugs in breast cancer cell lines.Genome-Wide Association Analyses Point to Candidate Genes for Electric Shock Avoidance in Drosophila melanogasterLCGbase: A Comprehensive Database for Lineage-Based Co-regulated Genes.An integer linear programming approach for finding deregulated subgraphs in regulatory networks.Network-Based Meta-Analyses of Associations of Multiple Gene Expression Profiles with Bone Mineral Density Variations in Women.
P2860
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P2860
BioNet: an R-Package for the functional analysis of biological networks.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh-hant
name
BioNet: an R-Package for the functional analysis of biological networks.
@en
BioNet: an R-Package for the functional analysis of biological networks.
@nl
type
label
BioNet: an R-Package for the functional analysis of biological networks.
@en
BioNet: an R-Package for the functional analysis of biological networks.
@nl
prefLabel
BioNet: an R-Package for the functional analysis of biological networks.
@en
BioNet: an R-Package for the functional analysis of biological networks.
@nl
P2093
P2860
P356
P1433
P1476
BioNet: an R-Package for the functional analysis of biological networks.
@en
P2093
Daniela Beisser
Marcus T Dittrich
Tobias Müller
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ089
P407
P577
2010-02-25T00:00:00Z