Identification of functional modules using network topology and high-throughput data.
about
DART: Denoising Algorithm based on Relevance network Topology improves molecular pathway activity inferenceConcise review: new paradigms for Down syndrome research using induced pluripotent stem cells: tackling complex human genetic diseaseVisualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and futureSystems biology approaches for discovering biomarkers for traumatic brain injuryNetwork biomarkers reveal dysfunctional gene regulations during disease progressionIntegrative approaches for finding modular structure in biological networksDEGAS: de novo discovery of dysregulated pathways in human diseasesNovel approach to meta-analysis of microarray datasets reveals muscle remodeling-related drug targets and biomarkers in Duchenne muscular dystrophyPrediction and validation of gene-disease associations using methods inspired by social network analysesAn integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathwaysThe PluriNetWork: an electronic representation of the network underlying pluripotency in mouse, and its applicationsPropagation of human embryonic and induced pluripotent stem cells in an indirect co-culture system.Detection of changes in gene regulatory patterns, elicited by perturbations of the Hsp90 molecular chaperone complex, by visualizing multiple experiments with an animation.An integrated approach (CLuster Analysis Integration Method) to combine expression data and protein-protein interaction networks in agrigenomics: application on Arabidopsis thalianaComputational solutions for omics data.Identifying protein complexes from heterogeneous biological data.Voting-based cancer module identification by combining topological and data-driven propertiesMining maximal cohesive induced subnetworks and patterns by integrating biological networks with gene profile data.Functional module search in protein networks based on semantic similarity improves the analysis of proteomics data.Revealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data.The MORPH-R web server and software tool for predicting missing genes in biological pathways.DeDaL: Cytoscape 3 app for producing and morphing data-driven and structure-driven network layouts.Which clustering algorithm is better for predicting protein complexes?Revealing complex function, process and pathway interactions with high-throughput expression and biological annotation data.SPIKE--a database, visualization and analysis tool of cellular signaling pathways.Predicting and validating protein interactions using network structure.SLEPR: a sample-level enrichment-based pathway ranking method -- seeking biological themes through pathway-level consistencyInfluence of protein abundance on high-throughput protein-protein interaction detection.GATE: software for the analysis and visualization of high-dimensional time series expression data.Searching for functional gene modules with interaction component modelsA hub-attachment based method to detect functional modules from confidence-scored protein interactions and expression profilesComputational approaches for detecting protein complexes from protein interaction networks: a survey.How to understand the cell by breaking it: network analysis of gene perturbation screensEvaluating between-pathway models with expression dataSimultaneous clustering of multiple gene expression and physical interaction datasets.Toward the dynamic interactome: it's about time.Increased entropy of signal transduction in the cancer metastasis phenotype.Genome-wide inference of regulatory networks in Streptomyces coelicolor.On the performance of de novo pathway enrichment.Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks.
P2860
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P2860
Identification of functional modules using network topology and high-throughput data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
Identification of functional modules using network topology and high-throughput data
@nl
Identification of functional modules using network topology and high-throughput data.
@ast
Identification of functional modules using network topology and high-throughput data.
@en
Identification of functional modules using network topology and high-throughput data.
@en-gb
type
label
Identification of functional modules using network topology and high-throughput data
@nl
Identification of functional modules using network topology and high-throughput data.
@ast
Identification of functional modules using network topology and high-throughput data.
@en
Identification of functional modules using network topology and high-throughput data.
@en-gb
prefLabel
Identification of functional modules using network topology and high-throughput data
@nl
Identification of functional modules using network topology and high-throughput data.
@ast
Identification of functional modules using network topology and high-throughput data.
@en
Identification of functional modules using network topology and high-throughput data.
@en-gb
P2860
P3181
P356
P1433
P1476
Identification of functional modules using network topology and high-throughput data.
@en
P2093
Ron Shamir
P2860
P2888
P3181
P356
10.1186/1752-0509-1-8
P407
P50
P577
2007-01-26T00:00:00Z
P5875
P6179
1037916747