Utilizing RNA-Seq data for de novo coexpression network inference
about
Learning from Co-expression Networks: Possibilities and ChallengesIntroduction to sequencing the brain transcriptomeSystems Biology Approaches for Host-Fungal Interactions: An Expanding Multi-Omics FrontierIdentification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine modelCanonical correlation analysis for RNA-seq co-expression networksA systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.A hierarchical poisson log-normal model for network inference from RNA sequencing data.SpliceNet: recovering splicing isoform-specific differential gene networks from RNA-Seq data of normal and diseased samples.Cosplicing network analysis of mammalian brain RNA-Seq data utilizing WGCNA and Mantel correlationsTRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotationA Combined PLS and Negative Binomial Regression Model for Inferring Association Networks from Next-generation Sequencing Count Data.Selecting biologically informative genes in co-expression networks with a centrality score.Comparative study of RNA-seq- and microarray-derived coexpression networks in Arabidopsis thaliana.Differential network analysis reveals genetic effects on catalepsy modules.RNA-Seq reveals novel transcriptional reorganization in human alcoholic brain.Whole brain and brain regional coexpression network interactions associated with predisposition to alcohol consumptionGeneFriends: a human RNA-seq-based gene and transcript co-expression databaseSummary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.Transcriptome organization for chronic alcohol abuse in human brain.Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell CarcinomaDual-trait selection for ethanol consumption and withdrawal: genetic and transcriptional network effectsTime-Course Analysis of Brain Regional Expression Network Responses to Chronic Intermittent Ethanol and Withdrawal: Implications for Mechanisms Underlying Excessive Ethanol Consumption.Genome-Wide Identification of the Transcription Factors Involved in Citrus Fruit Ripening from the Transcriptomes of a Late-Ripening Sweet Orange Mutant and Its Wild Type.Transcriptomic dynamics of breast cancer progression in the MMTV-PyMT mouse model.Comprehensive discovery of subsample gene expression components by information explanation: therapeutic implications in cancer.An Integrative Genomic Study Implicates the Postsynaptic Density in the Pathogenesis of Bipolar Disorder.Transcriptome analysis of Inbred Long Sleep and Inbred Short Sleep micePeeling back the evolutionary layers of molecular mechanisms responsive to exercise-stress in the skeletal muscle of the racing horse.Voluntary wheel running reduces voluntary consumption of ethanol in mice: identification of candidate genes through striatal gene expression profilingProtein co-expression network analysis (ProCoNA).Selection for drinking in the dark alters brain gene coexpression networks.Identification of novel long non-coding RNAs deregulated in hepatocellular carcinoma using RNA-sequencing.Multi-omic network signatures of disease.Identification of MicroRNA Targets of Capsicum spp. Using MiRTrans-a Trans-Omics Approach.Current challenges and future potential of tomato breeding using omics approaches.Construction of an integrated gene regulatory network link to stress-related immune system in cattle.Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data.Effects of selection for ethanol preference on gene expression in the nucleus accumbens of HS-CC mice.Temperature controls on the basal emission rate of isoprene in a tropical tree Ficus septica: exploring molecular regulatory mechanisms.Catalyzing plant science research with RNA-seq.
P2860
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P2860
Utilizing RNA-Seq data for de novo coexpression network inference
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Utilizing RNA-Seq data for de novo coexpression network inference
@ast
Utilizing RNA-Seq data for de novo coexpression network inference
@en
Utilizing RNA-Seq data for de novo coexpression network inference
@nl
type
label
Utilizing RNA-Seq data for de novo coexpression network inference
@ast
Utilizing RNA-Seq data for de novo coexpression network inference
@en
Utilizing RNA-Seq data for de novo coexpression network inference
@nl
prefLabel
Utilizing RNA-Seq data for de novo coexpression network inference
@ast
Utilizing RNA-Seq data for de novo coexpression network inference
@en
Utilizing RNA-Seq data for de novo coexpression network inference
@nl
P2093
P2860
P356
P1433
P1476
Utilizing RNA-Seq data for de novo coexpression network inference
@en
P2093
Daniel Bottomly
Ovidiu D Iancu
Robert Hitzemann
Robert Searles
Sunita Kawane
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS245
P407
P577
2012-05-03T00:00:00Z