Gene-set analysis is severely biased when applied to genome-wide methylation data - Test2 - elhamkhani - TriplyDB

Gene-set analysis is severely biased when applied to genome-wide methylation data

Gene-set analysis is severely biased when applied to genome-wide methylation data

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Mosaic epigenetic dysregulation of ectodermal cells in autism spectrum disorder Epigenomics and allergic disease Inferring pathway dysregulation in cancers from multiple types of omic data.missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform.Predicting Response to Histone Deacetylase Inhibitors Using High-Throughput Genomics.Sexual dimorphism in epigenomic responses of stem cells to extreme fetal growth Associations between DNA methylation and schizophrenia-related intermediate phenotypes - a gene set enrichment analysis De novo identification of differentially methylated regions in the human genome.Genetic and epigenetic profiling of CLL disease progression reveals limited somatic evolution and suggests a relationship to memory-cell development Paternal sperm DNA methylation associated with early signs of autism risk in an autism-enriched cohort Characterization of whole-genome autosomal differences of DNA methylation between men and women Comprehensive characterization of DNA methylation changes in Fuchs endothelial corneal dystrophy.Two-stage genome-wide methylation profiling in childhood-onset Crohn's Disease implicates epigenetic alterations at the VMP1/MIR21 and HLA loci.Differential DNA methylation patterns of homeobox genes in proximal and distal colon epithelial cells.Epigenome-wide association study of DNA methylation in panic disorder.Bioinformatics approaches for the functional interpretation of protein lists: from ontology term enrichment to network analysis.Inflammation-associated DNA methylation patterns in epithelium of ulcerative colitis.Systematic meta-analyses and field synopsis of genetic and epigenetic studies in paediatric inflammatory bowel disease.An epigenome-wide DNA methylation study of PTSD and depression in World Trade Center responders Aberrant DNA Methylation in Human iPSCs Associates with MYC-Binding Motifs in a Clone-Specific Manner Independent of Genetics.An epigenome-wide methylation study of healthy individuals with or without depressive symptoms.Oxidative stress and inflammation mediate the effect of air pollution on cardio- and cerebrovascular disease: A prospective study in nonsmokers.Statistical and integrative system-level analysis of DNA methylation data.Array probe density and pathobiological relevant CpG calling bias in human disease and physiological DNA methylation profiling.Apc inactivation, but not obesity, synergizes with Pten deficiency to drive intestinal stem cell-derived tumorigenesis.Comparative pan-cancer DNA methylation analysis reveals cancer common and specific patterns.A framework for analyzing DNA methylation data from Illumina Infinium HumanMethylation450 BeadChip.Increased DNA methylation variability in rheumatoid arthritis-discordant monozygotic twins Impact of age, BMI and HbA1c levels on the genome-wide DNA methylation and mRNA expression patterns in human adipose tissue and identification of epigenetic biomarkers in blood Cancer expression quantitative trait loci (eQTLs) can be determined from heterogeneous tumor gene expression data by modeling variation in tumor purity

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P2860

Gene-set analysis is severely biased when applied to genome-wide methylation data

http://www.wikidata.org/entity/Q28291972

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2013 nî lūn-bûn

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2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

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2013 թվականի օգոստոսին հրատարակված գիտական հոդված

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Gene-set analysis is severely biased when applied to genome-wide methylation data

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Gene-set analysis is severely biased when applied to genome-wide methylation data

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Gene-set analysis is severely biased when applied to genome-wide methylation data

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Gene-set analysis is severely biased when applied to genome-wide methylation data

@ast

Gene-set analysis is severely biased when applied to genome-wide methylation data

@en

Gene-set analysis is severely biased when applied to genome-wide methylation data

@nl

prefLabel

Gene-set analysis is severely biased when applied to genome-wide methylation data

@ast

Gene-set analysis is severely biased when applied to genome-wide methylation data

@en

Gene-set analysis is severely biased when applied to genome-wide methylation data

@nl

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Gene-set analysis is severely biased when applied to genome-wide methylation data

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Cathal Seoighe

http://www.w3.org/2001/XMLSchema#string

Laurance J Egan

http://www.w3.org/2001/XMLSchema#string

Lori Hartnett

http://www.w3.org/2001/XMLSchema#string

Paul Geeleher

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Raja Affendi Raja Ali

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P2860

Transcript length bias in RNA-seq data confounds systems biology

DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines

Gene ontology: tool for the unification of biology

KEGG: kyoto encyclopedia of genes and genomes

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts

The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores

The risk of colorectal cancer in ulcerative colitis: a meta-analysis

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

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10.1093/BIOINFORMATICS/BTT311

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15

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29

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