From 'differential expression' to 'differential networking' - identification of dysfunctional regulatory networks in diseases.
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When is hub gene selection better than standard meta-analysis?Systems biology of complex symptom profiles: capturing interactivity across behavior, brain and immune regulationComparative Transcriptomes and EVO-DEVO Studies Depending on Next Generation SequencingBeyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disordersLiver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle.Differential Regulatory Analysis Based on Coexpression Network in Cancer ResearchRespiratory viral infections and host responses; insights from genomicsUsing gene-network landscape to dissect genotype effects of TCF7L2 genetic variant on diabetes and cardiovascular riskInferring causal molecular networks: empirical assessment through a community-based effortThe human disease network in terms of dysfunctional regulatory mechanismsGenetic variants in Alzheimer disease - molecular and brain network approachesA novel integrated gene coexpression analysis approach reveals a prognostic three-transcription-factor signature for glioma molecular subtypesCluster and propensity based approximation of a networkBeyond differential expression: the quest for causal mutations and effector moleculesReliefSeq: a gene-wise adaptive-K nearest-neighbor feature selection tool for finding gene-gene interactions and main effects in mRNA-Seq gene expression data.Algorithms for network-based identification of differential regulators from transcriptome data: a systematic evaluationEfficient Mining of Discriminative Co-clusters from Gene Expression Data.Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data.A system level analysis of gastric cancer across tumor stages with RNA-seq data.DECODE: an integrated differential co-expression and differential expression analysis of gene expression data.dcVar: a method for identifying common variants that modulate differential correlation structures in gene expression data.Large-Scale Public Transcriptomic Data Mining Reveals a Tight Connection between the Transport of Nitrogen and Other Transport Processes in Arabidopsis.INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery.Differential network analysis from cross-platform gene expression data.Identifying differential networks based on multi-platform gene expression data.Differential correlation for sequencing data.Dynamic protein interaction modules in human hepatocellular carcinoma progressionDiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules.Using Coexpression Protein Interaction Network Analysis to Identify Mechanisms of Danshensu Affecting Patients with Coronary Heart Disease.Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancerQuantifying differential gene connectivity between disease states for objective identification of disease-relevant genes.Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data.Differential C3NET reveals disease networks of direct physical interactions.Link-based quantitative methods to identify differentially coexpressed genes and gene pairs.Genetic variation shapes protein networks mainly through non-transcriptional mechanismsSynergy analysis reveals association between insulin signaling and desmoplakin expression in palmitate treated HepG2 cellsGenetic architecture of gene expression in ovine skeletal muscleTEMPI: probabilistic modeling time-evolving differential PPI networks with multiPle information.Transcription factor-pathway coexpression analysis reveals cooperation between SP1 and ESR1 on dysregulating cell cycle arrest in non-hyperdiploid multiple myeloma.Gene regulation is governed by a core network in hepatocellular carcinoma.
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P2860
From 'differential expression' to 'differential networking' - identification of dysfunctional regulatory networks in diseases.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on July 2010
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
From 'differential expression' ...... gulatory networks in diseases.
@en
From 'differential expression' ...... gulatory networks in diseases.
@nl
type
label
From 'differential expression' ...... gulatory networks in diseases.
@en
From 'differential expression' ...... gulatory networks in diseases.
@nl
prefLabel
From 'differential expression' ...... gulatory networks in diseases.
@en
From 'differential expression' ...... gulatory networks in diseases.
@nl
P1433
P1476
From 'differential expression' ...... gulatory networks in diseases.
@en
P2093
Alberto de la Fuente
P304
P356
10.1016/J.TIG.2010.05.001
P577
2010-07-01T00:00:00Z