| review article | Q7318358 |
| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1045277397 |
| P356 | DOI | 10.1007/S00439-011-0993-X |
| P932 | PMC publication ID | 3166559 |
| P698 | PubMed publication ID | 21519831 |
| P5875 | ResearchGate publication ID | 51076769 |
| P2093 | author name string | Kimberly D Siegmund | |
| P2860 | cites work | DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines | Q21184030 |
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| Unique DNA methylation patterns distinguish noninvasive and invasive urothelial cancers and establish an epigenetic field defect in premalignant tissue | Q34203924 | ||
| Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips | Q34401548 | ||
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| Identification and functional relevance of de novo DNA methylation in cancerous B-cell populations | Q35067195 | ||
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| Considerations for the processing and analysis of GoldenGate-based two-colour Illumina platforms. | Q37372216 | ||
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| Comprehensive high-throughput arrays for relative methylation (CHARM). | Q42155651 | ||
| A statistical framework for Illumina DNA methylation arrays | Q42578397 | ||
| Age related changes in 5-methylcytosine content in human peripheral leukocytes and placentas: an HPLC-based study | Q44552941 | ||
| MIRA-assisted microarray analysis, a new technology for the determination of DNA methylation patterns, identifies frequent methylation of homeodomain-containing genes in lung cancer cells | Q47591519 | ||
| Reconstructing histories of complex gene clusters on a phylogeny. | Q51655041 | ||
| Moving AHEAD with an international human epigenome project. | Q55050360 | ||
| Beta Regression for Modelling Rates and Proportions | Q57496575 | ||
| The epigenomics of cancer | Q28289975 | ||
| Comprehensive methylome map of lineage commitment from haematopoietic progenitors | Q28290899 | ||
| Circos: an information aesthetic for comparative genomics | Q29547653 | ||
| lumi: a pipeline for processing Illumina microarray | Q29614924 | ||
| Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells | Q29618090 | ||
| Epigenetic modifications and human disease | Q29619753 | ||
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| Model-based analysis of tiling-arrays for ChIP-chip. | Q30821016 | ||
| beadarray: R classes and methods for Illumina bead-based data. | Q31116642 | ||
| Statistical issues in the analysis of Illumina data | Q31145644 | ||
| Model-based analysis of two-color arrays (MA2C). | Q33295457 | ||
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| Probe signal correction for differential methylation hybridization experiments | Q33378988 | ||
| Statistical methods of background correction for Illumina BeadArray data | Q33405691 | ||
| Sparse canonical correlation analysis with application to genomic data integration | Q33409957 | ||
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| Extensions of sparse canonical correlation analysis with applications to genomic data | Q33477584 | ||
| Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis | Q33503982 | ||
| Identifying differentially methylated genes using mixed effect and generalized least square models | Q33517853 | ||
| An epigenetic signature in peripheral blood predicts active ovarian cancer | Q33519528 | ||
| A Robust Unified Approach to Analyzing Methylation and Gene Expression Data | Q33531699 | ||
| Repitools: an R package for the analysis of enrichment-based epigenomic data | Q33574328 | ||
| Prediction of epigenetically regulated genes in breast cancer cell lines | Q33595315 | ||
| Accurate genome-scale percentage DNA methylation estimates from microarray data | Q33698814 | ||
| Genetic control of individual differences in gene-specific methylation in human brain. | Q33708612 | ||
| Evaluation of affinity-based genome-wide DNA methylation data: effects of CpG density, amplification bias, and copy number variation | Q33736481 | ||
| The DNA methylome of human peripheral blood mononuclear cells | Q33750243 | ||
| Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massively parallel DNA sequencing | Q33752163 | ||
| An empirical Bayes model for gene expression and methylation profiles in antiestrogen resistant breast cancer | Q33756175 | ||
| Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis | Q33759128 | ||
| Principles and challenges of genomewide DNA methylation analysis | Q34096366 | ||
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| Computational analysis of genome-wide DNA methylation during the differentiation of human embryonic stem cells along the endodermal lineage | Q34153652 | ||
| Semi-supervised recursively partitioned mixture models for identifying cancer subtypes | Q34180853 | ||
| P433 | issue | 6 | |
| P921 | main subject | statistics | Q12483 |
| DNA methylation | Q874745 | ||
| P304 | page(s) | 585-595 | |
| P577 | publication date | 2011-04-26 | |
| P1433 | published in | Human Genetics | Q5937167 |
| P1476 | title | Statistical approaches for the analysis of DNA methylation microarray data | |
| P478 | volume | 129 |
| Q34976889 | A comprehensive overview of Infinium HumanMethylation450 data processing |
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| Q37200842 | Cancer Biomarkers from Genome-Scale DNA Methylation: Comparison of Evolutionary and Semantic Analysis Methods |
| Q36203475 | Environmental epigenetics: prospects for studying epigenetic mediation of exposure-response relationships |
| Q35880987 | Epigenetic Repression of CCDC37 and MAP1B Links Chronic Obstructive Pulmonary Disease to Lung Cancer |
| Q38364869 | Epigenetics for anthropologists: An introduction to methods |
| Q26749004 | Establishing an analytic pipeline for genome-wide DNA methylation |
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| Q50900131 | Exploratory analysis of ERCC2 DNA methylation in survival among pediatric medulloblastoma patients. |
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| Q35863766 | Identifying molecular subtypes in human colon cancer using gene expression and DNA methylation microarray data. |
| Q30883307 | Integrative analysis of DNA methylation and gene expression data identifies EPAS1 as a key regulator of COPD. |
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| Q101451946 | Predicting DNA methylation from genetic data lacking racial diversity using shared classified random effects |
| Q42150134 | Recent thymic emigrants and mature naive T cells exhibit differential DNA methylation at key cytokine loci |
| Q27027775 | Review of processing and analysis methods for DNA methylation array data |
| Q36279102 | Study designs and methods post genome-wide association studies |
| Q31165459 | TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages |
| Q28648128 | TopFed: TCGA tailored federated query processing and linking to LOD |
| Q64109951 | pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS) |
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