Regulatory impact factors: unraveling the transcriptional regulation of complex traits from expression data.
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Putative regulatory factors associated with intramuscular fat contentComparative Analysis of Muscle Transcriptome between Pig Genotypes Identifies Genes and Regulatory Mechanisms Associated to Growth, Fatness and MetabolismBeyond differential expression: the quest for causal mutations and effector moleculesPrediction of novel drug indications using network driven biological data prioritization and integration.Expression data analysis to identify biomarkers associated with asthma in children.Algorithms for network-based identification of differential regulators from transcriptome data: a systematic evaluationPorcine tissue-specific regulatory networks derived from meta-analysis of the transcriptome.Genome-wide patterns of promoter sharing and co-expression in bovine skeletal muscle.Longissimus dorsi transcriptome analysis of purebred and crossbred Iberian pigs differing in muscle characteristics.A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer.Computational identification of transcriptional regulators in human endotoxemiaMulti-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattleKnowledge-fused differential dependency network models for detecting significant rewiring in biological networksTranscriptome and network changes in climbers at extreme altitudes.Integrating gene expression and protein-protein interaction network to prioritize cancer-associated genes.Preclinical magnetic resonance imaging and systems biology in cancer research: current applications and challenges.Gene expression profiling combined with bioinformatics analysis identify biomarkers for Parkinson disease.DCGL v2.0: an R package for unveiling differential regulation from differential co-expressionNetwork-based differential gene expression analysis suggests cell cycle related genes regulated by E2F1 underlie the molecular difference between smoker and non-smoker lung adenocarcinoma.Mining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks.Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses.Gene co-expression network analysis provides novel insights into myostatin regulation at three different mouse developmental timepoints.Extensive decoupling of metabolic genes in cancer.Differential co-expression and regulation analyses reveal different mechanisms underlying major depressive disorder and subsyndromal symptomatic depression.Bioinformatic analyses in early host response to Porcine Reproductive and Respiratory Syndrome virus (PRRSV) reveals pathway differences between pigs with alternate genotypes for a major host response QTLIdentification of Gene Networks for Residual Feed Intake in Angus Cattle Using Genomic Prediction and RNA-seq.Gene Co-Expression Network Analysis Unraveling Transcriptional Regulation of High-Altitude Adaptation of Tibetan Pig.Developmental Stage, Muscle and Genetic Type Modify Muscle Transcriptome in Pigs: Effects on Gene Expression and Regulatory Factors Involved in Growth and Metabolism.Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses.Progesterone signalling in broiler skeletal muscle is associated with divergent feed efficiency.Reconstruction of transcriptional regulatory networks by stability-based network component analysis.Alternative α-synuclein transcript usage as a convergent mechanism in Parkinson's disease pathology.Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification.RMaNI: Regulatory Module Network Inference framework.RNF14 is a regulator of mitochondrial and immune function in muscle.INsPeCT: INtegrative Platform for Cancer Transcriptomics.In search of underlying mechanisms and potential drugs of melphalan-induced vascular toxicity through retinal endothelial cells using bioinformatics approach.Comprehensive analysis of genes, pathways, and TFs in nonsmoking Taiwan females with lung cancer.RegulatorTrail: a web service for the identification of key transcriptional regulators.Identification of genes associated with renal cell carcinoma using gene expression profiling analysis.
P2860
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P2860
Regulatory impact factors: unraveling the transcriptional regulation of complex traits from expression data.
description
2010 nî lūn-bûn
@nan
2010 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Regulatory impact factors: unr ...... x traits from expression data.
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Regulatory impact factors: unr ...... x traits from expression data.
@en
Regulatory impact factors: unr ...... x traits from expression data.
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type
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Regulatory impact factors: unr ...... x traits from expression data.
@ast
Regulatory impact factors: unr ...... x traits from expression data.
@en
Regulatory impact factors: unr ...... x traits from expression data.
@nl
prefLabel
Regulatory impact factors: unr ...... x traits from expression data.
@ast
Regulatory impact factors: unr ...... x traits from expression data.
@en
Regulatory impact factors: unr ...... x traits from expression data.
@nl
P2860
P50
P356
P1433
P1476
Regulatory impact factors: unr ...... ex traits from expression data
@en
P2093
Shivashankar H Nagaraj
P2860
P304
P356
10.1093/BIOINFORMATICS/BTQ051
P407
P577
2010-02-09T00:00:00Z