When is hub gene selection better than standard meta-analysis? - Wikidata - wikimedia - TriplyDB

When is hub gene selection better than standard meta-analysis?

When is hub gene selection better than standard meta-analysis?

http://www.wikidata.org/entity/Q21133557

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DNA methylation age of human tissues and cell types Beyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disorders Genetic, transcriptomic, and epigenetic studies of HIV-associated neurocognitive disorder The cerebellum ages slowly according to the epigenetic clock Network Analysis Implicates Alpha-Synuclein (Snca) in the Regulation of Ovariectomy-Induced Bone Loss Cattle genome-wide analysis reveals genetic signatures in trypanotolerant N'Dama.Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery.Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data.Convergent genetic and expression data implicate immunity in Alzheimer's disease A comparative evaluation of data-merging and meta-analysis methods for reconstructing gene-gene interactions Identifying gene coexpression networks underlying the dynamic regulation of wood-forming tissues in Populus under diverse environmental conditions.Gene co-expression network analysis identifies porcine genes associated with variation in Salmonella shedding Characterization of transcriptional modules related to fibrosing-NAFLD progression.An integrated genomic and metabolomic framework for cell wall biology in rice.A common gene expression signature in Huntington's disease patient brain regions.Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels.Molecular network analysis enhances understanding of the biology of mental disorders.Microarray enriched gene rank Differential co-expression network centrality and machine learning feature selection for identifying susceptibility hubs in networks with scale-free structure.Identification of several hub-genes associated with periodontitis using integrated microarray analysis.Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection.Identification of common regulators of genes in co-expression networks affecting muscle and meat properties.Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysis.Coexpression Network Analysis of Benign and Malignant Phenotypes of SIV-Infected Sooty Mangabey and Rhesus Macaque.An Integrative Transcriptomic Analysis for Identifying Novel Target Genes Corresponding to Severity Spectrum in Spinal Muscular Atrophy Transcriptional Orchestration of the Global Cellular Response of a Model Pennate Diatom to Diel Light Cycling under Iron Limitation.Integrated analysis of genetic, behavioral, and biochemical data implicates neural stem cell-induced changes in immunity, neurotransmission and mitochondrial function in Dementia with Lewy Body mice.Preservation affinity in consensus modules among stages of HIV-1 progression.Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders.Recursive Indirect-Paths Modularity (RIP-M) for Detecting Community Structure in RNA-Seq Co-expression Networks.Integrated microRNA and protein expression analysis reveals novel microRNA regulation of targets in fetal down syndrome.A new bioinformatic insight into the associated proteins in psychiatric disorders.Gene set analysis controlling for length bias in RNA-seq experiments.Using scale and feather traits for module construction provides a functional approach to chicken epidermal development.Parkinson's disease is associated with DNA methylation levels in human blood and saliva.A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores.From Saccharomyces cerevisiae to human: The important gene co-expression modules.Transcriptional Changes in the Mouse Retina after Ocular Blast Injury: A Role for the Immune System.Gene Co-Expression Analysis Predicts Genetic Variants Associated with Drug Responsiveness in Lung Cancer.

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When is hub gene selection better than standard meta-analysis?

http://www.wikidata.org/entity/Q21133557

description

2013 nî lūn-bûn

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2013 թուականին հրատարակուած գիտական յօդուած

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2013 թվականին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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type

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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When is hub gene selection better than standard meta-analysis?

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P2860

Geometric interpretation of gene coexpression network analysis

Bioconductor: open software development for computational biology and bioinformatics

WGCNA: an R package for weighted correlation network analysis

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

Abundant quantitative trait loci exist for DNA methylation and gene expression in human brain

Statistical mechanics of complex networks

Gene ontology: tool for the unification of biology

NCBI GEO: archive for functional genomics data sets--10 years on

Cluster analysis and display of genome-wide expression patterns

Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization

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