Network visualization and analysis of gene expression data using BioLayout Express(3D).
about
Using biological networks to integrate, visualize and analyze genomics dataTranscriptomic Approaches to Neural RepairVisualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and futureThe Many Alternative Faces of Macrophage ActivationStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewEC-BLAST: a tool to automatically search and compare enzyme reactionsFunctional classification of memory CD8(+) T cells by CX3CR1 expression.Visualisation of BioPAX Networks using BioLayout Express (3D)Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)CRISPRmap: an automated classification of repeat conservation in prokaryotic adaptive immune systemsVisualization of protein interaction networks: problems and solutions.The genome of a pathogenic rhodococcus: cooptive virulence underpinned by key gene acquisitionsePlant and the 3D data display initiative: integrative systems biology on the world wide webIdentification of novel genes selectively expressed in the follicle-associated epithelium from the meta-analysis of transcriptomics data from multiple mouse cell and tissue populations.Visualizing time-related data in biology, a reviewIntegrated microRNA and messenger RNA analysis in aortic stenosis.Tools for visualization and analysis of molecular networks, pathways, and -omics data.DeDaL: Cytoscape 3 app for producing and morphing data-driven and structure-driven network layouts.Comparative analysis of molecular mechanism of spinal cord injury with time based on bioinformatics data.Identification of novel candidate genes for follicle selection in the broiler breeder ovary.Construction of a large scale integrated map of macrophage pathogen recognition and effector systems.The mEPN scheme: an intuitive and flexible graphical system for rendering biological pathways.Gene Expression Browser: large-scale and cross-experiment microarray data integration, management, search & visualization.Persistence of Innate Immune Pathways in Late Stage Human Bacterial and Fungal Keratitis: Results from a Comparative Transcriptome AnalysisDiscovering hidden relationships between renal diseases and regulated genes through 3D network visualizations.Cellular senescence drives age-dependent hepatic steatosis.Discovery of Novel Human Gene Regulatory Modules from Gene Co-expression and Promoter Motif Analysis.Expression of mesenchyme-specific gene signatures by follicular dendritic cells: insights from the meta-analysis of microarray data from multiple mouse cell populations.Human XCR1+ dendritic cells derived in vitro from CD34+ progenitors closely resemble blood dendritic cells, including their adjuvant responsiveness, contrary to monocyte-derived dendritic cells.Involvement of potato (Solanum tuberosum L.) MKK6 in response to potato virus Y.SegMine workflows for semantic microarray data analysis in Orange4WSFunctional Genomics Assistant (FUGA): a toolbox for the analysis of complex biological networks.Identification of a human neonatal immune-metabolic network associated with bacterial infectiongraphite - a Bioconductor package to convert pathway topology to gene network.MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity.Human conjunctival transcriptome analysis reveals the prominence of innate defense in Chlamydia trachomatis infectionHuman gene correlation analysis (HGCA): a tool for the identification of transcriptionally co-expressed genes.NetWalker: a contextual network analysis tool for functional genomicsTranscriptomic analysis of circulating leukocytes reveals novel aspects of the host systemic inflammatory response to sheep scab mites.Comparative study of human and mouse postsynaptic proteomes finds high compositional conservation and abundance differences for key synaptic proteins
P2860
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P2860
Network visualization and analysis of gene expression data using BioLayout Express(3D).
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@ast
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@en
type
label
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@ast
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@en
prefLabel
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@ast
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@en
P2093
P2860
P356
P1433
P1476
Network visualization and analysis of gene expression data using BioLayout Express(3D).
@en
P2093
Athanasios Theocharidis
Stjin van Dongen
Tom C Freeman
P2860
P2888
P304
P356
10.1038/NPROT.2009.177
P577
2009-10-01T00:00:00Z
P5875
P6179
1032512241