SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips
about
Developmental exposure to estrogen alters differentiation and epigenetic programming in a human fetal prostate xenograft modelA six months exercise intervention influences the genome-wide DNA methylation pattern in human adipose tissueEstablishing an analytic pipeline for genome-wide DNA methylationBase resolution methylome profiling: considerations in platform selection, data preprocessing and analysisDNA methylation data analysis and its application to cancer researchReview of processing and analysis methods for DNA methylation array dataEpigenomic profiling of prostate cancer identifies differentially methylated genes in TMPRSS2:ERG fusion-positive versus fusion-negative tumors.Non-CG DNA methylation is a biomarker for assessing endodermal differentiation capacity in pluripotent stem cellsThe cerebellum ages slowly according to the epigenetic clockOptimized DNA extraction from neonatal dried blood spots: application in methylome profilingIncreased DNA Methylation and Reduced Expression of Transcription Factors in Human Osteoarthritis Cartilage.Effects of DNA Methylation on Progression to Interstitial Fibrosis and Tubular Atrophy in Renal Allograft Biopsies: A Multi-omics Approach.A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.Validation study of genes with hypermethylated promoter regions associated with prostate cancer recurrence.H3K4me1 marks DNA regions hypomethylated during aging in human stem and differentiated cellsA data-driven approach to preprocessing Illumina 450K methylation array data.Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies.Quantitative identification of differentially methylated loci based on relative entropy for matched case-control data.Next-generation technologies and data analytical approaches for epigenomics.Analysis pipelines and packages for Infinium HumanMethylation450 BeadChip (450k) dataComprehensive analysis of DNA methylation data with RnBeads.Functional normalization of 450k methylation array data improves replication in large cancer studies.Between-array normalization for 450K data.A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies.Identification of functionally methylated regions based on discriminant analysis through integrating methylation and gene expression data.Removing unwanted variation in a differential methylation analysis of Illumina HumanMethylation450 array data.A systematic study of normalization methods for Infinium 450K methylation data using whole-genome bisulfite sequencing data.missMethyl: an R package for analyzing data from Illumina's HumanMethylation450 platform.Methods for identifying differentially methylated regions for sequence- and array-based data.An evaluation of processing methods for HumanMethylation450 BeadChip dataA cross-package Bioconductor workflow for analysing methylation array dataComparison of pre-processing methodologies for Illumina 450k methylation array data in familial analyses.Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type compositionStatistical challenges in analyzing methylation and long-range chromosomal interaction dataAn epigenetic signature in peripheral blood associated with the haplotype on 17q21.31, a risk factor for neurodegenerative tauopathy.Genome-wide methylation data mirror ancestry information.Combining omics data to identify genes associated with allergic rhinitis.DNA methylation profiling in peripheral lung tissues of smokers and patients with COPDMinfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarraysDifferential DNA methylation and lymphocyte proportions in a Costa Rican high longevity region.
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P2860
SWAN: Subset-quantile within array normalization for illumina infinium HumanMethylation450 BeadChips
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին 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
SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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type
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile Within A ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
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SWAN: Subset-quantile within a ...... HumanMethylation450 BeadChips
@en
P2093
Lavinia Gordon
P2860
P2888
P3181
P356
10.1186/GB-2012-13-6-R44
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P577
2012-01-01T00:00:00Z
P5875
P6179
1035557760