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DNA methylation data analysis and its application to cancer research
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PubMed
title
DNA methylation data analysis and its application to cancer research
(English)
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main subject
DNA methylation
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data analysis
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author name string
Xiaotu Ma
series ordinal
1
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Crossref
Yi-Wei Wang
series ordinal
2
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Crossref
Michael Q Zhang
series ordinal
3
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Crossref
Adi F Gazdar
series ordinal
4
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Crossref
language of work or name
English
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stated in
PubMed
publication date
June 2013
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PubMed
published in
Epigenomics
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stated in
PubMed
volume
5
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stated in
PubMed
issue
3
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PubMed
page(s)
301-16
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PubMed
cites work
An integrated encyclopedia of DNA elements in the human genome
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PubMed Central
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DNA methylation and microRNA dysregulation in cancer
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Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts
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Human DNA methylomes at base resolution show widespread epigenomic differences
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DNA methylation profiling of human chromosomes 6, 20 and 22
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A gene hypermethylation profile of human cancer
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Functions of DNA methylation: islands, start sites, gene bodies and beyond
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IDH1 mutation is sufficient to establish the glioma hypermethylator phenotype
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Aging effects on DNA methylation modules in human brain and blood tissue
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An atlas of DNA methylomes in porcine adipose and muscle tissues
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Genome-scale analysis of DNA methylation in lung adenocarcinoma and integration with mRNA expression.
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Recurrent variations in DNA methylation in human pluripotent stem cells and their differentiated derivatives.
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Genome-wide peripheral blood leukocyte DNA methylation microarrays identified a single association with inflammatory bowel diseases
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Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis
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Epigenomics reveals a functional genome anatomy and a new approach to common disease
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Accurate genome-scale percentage DNA methylation estimates from microarray data
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High density DNA methylation array with single CpG site resolution
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Large-scale human promoter mapping using CpG islands.
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Loss of nuclear p16 protein expression is not associated with promoter methylation but defines a subgroup of aggressive endometrial carcinomas with poor prognosis.
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Inactivation of the CDKN2/p16/MTS1 gene is frequently associated with aberrant DNA methylation in all common human cancers
1 reference
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based on heuristic
inferred from PubMed ID database lookup
Computational identification of promoters and first exons in the human genome
1 reference
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Identifiers
DOI
10.2217/EPI.13.26
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
332787
OpenCitations bibliographic resource ID
332787
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
332787
PMC publication ID
4525706
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
332787
PubMed publication ID
23750645
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
332787
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