Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types.
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Differential Regulatory Analysis Based on Coexpression Network in Cancer ResearchBiological Networks for Cancer Candidate Biomarkers DiscoveryDefective control of pre-messenger RNA splicing in human diseaseA pan-cancer analysis of prognostic genes.Identification of Distinct Psychosis Biotypes Using Brain-Based BiomarkersCorrelation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell MetabolismComparison of the Prognostic Utility of the Diverse Molecular Data among lncRNA, DNA Methylation, microRNA, and mRNA across Five Human Cancers.Network-Based Biomedical Data Analysis.Exploring functions of long noncoding RNAs across multiple cancers through co-expression networkA systematic analysis of miRNA-mRNA paired variations reveals widespread miRNA misregulation in breast cancer.Alcohol-dysregulated microRNAs in hepatitis B virus-related hepatocellular carcinoma.Biomarker correlation network in colorectal carcinoma by tumor anatomic location.Characterization of transcriptional modules related to fibrosing-NAFLD progression.Text mining in cancer gene and pathway prioritization.Gene coexpression measures in large heterogeneous samples using count statistics.Key regulators in prostate cancer identified by co-expression module analysisPrognostic gene signature identification using causal structure learning: applications in kidney cancer.GeneFriends: a human RNA-seq-based gene and transcript co-expression databaseFastGCN: a GPU accelerated tool for fast gene co-expression networks.Coexpression analysis of CD133 and CD44 identifies proneural and mesenchymal subtypes of glioblastoma multiforme.A null model for Pearson coexpression networksProfiling of Discrete Gynecological Cancers Reveals Novel Transcriptional Modules and Common Features Shared by Other Cancer Types and Embryonic Stem Cells.Derivation of a fifteen gene prognostic panel for six cancers.Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes.Cogena, a novel tool for co-expressed gene-set enrichment analysis, applied to drug repositioning and drug mode of action discoverypetal: Co-expression network modelling in R.Construction and analysis of dynamic transcription factor regulatory networks in the progression of gliomaDifferential correlation analysis of glioblastoma reveals immune ceRNA interactions predictive of patient survivalComprehensive discovery of subsample gene expression components by information explanation: therapeutic implications in cancer.The Impact of Age and Sex in DLBCL: Systems Biology Analyses Identify Distinct Molecular Changes and Signaling Networks.Network based stratification of major cancers by integrating somatic mutation and gene expression data.Functional divergence and convergence between the transcript network and gene network in lung adenocarcinoma.Genome-wide identification and characterization of long intergenic noncoding RNAs and their potential association with larval development in the Pacific oysterDifferential network analysis reveals the genome-wide landscape of estrogen receptor modulation in hormonal cancersCoexpression network analysis of the genes regulated by two types of resistance responses to powdery mildew in wheat.A new strategy for exploring the hierarchical structure of cancers by adaptively partitioning functional modules from gene expression network.Quantitative proteomics reveals the novel co-expression signatures in early brain development for prognosis of glioblastoma multiformeSubpathway-LNCE: Identify dysfunctional subpathways competitively regulated by lncRNAs through integrating lncRNA-mRNA expression profile and pathway topologies.Pan-organ transcriptome variation across 21 cancer types.microRNA expression patterns across seven cancers are highly correlated and dominated by evolutionarily ancient families.
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Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on January 2014
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Gene co-expression network ana ...... tic genes across cancer types.
@en
Gene co-expression network ana ...... tic genes across cancer types.
@nl
type
label
Gene co-expression network ana ...... tic genes across cancer types.
@en
Gene co-expression network ana ...... tic genes across cancer types.
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prefLabel
Gene co-expression network ana ...... tic genes across cancer types.
@en
Gene co-expression network ana ...... tic genes across cancer types.
@nl
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P1476
Gene co-expression network ana ...... tic genes across cancer types.
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P2860
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10.1038/NCOMMS4231
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2014-01-01T00:00:00Z