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A powerful statistical method for identifying differentially methylated markers in complex diseases
Surin Ahn,
Tao Wang
Epidemiology & Population Health
Research output
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Contribution to journal
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Conference article
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peer-review
14
Scopus citations
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Dive into the research topics of 'A powerful statistical method for identifying differentially methylated markers in complex diseases'. Together they form a unique fingerprint.
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Keyphrases
Methylation
100%
Statistical Methods
100%
Complex Disease
100%
T-test
75%
Methylation Status
50%
Score Test
50%
Epigenetic Modification
25%
DNA Methylation (DNAm)
25%
Cancer Study
25%
Methylation Pattern
25%
Adjusting for Covariates
25%
Analytic Approach
25%
Ovarian Cancer
25%
Disease Phenotype
25%
Transcriptional Expression
25%
Genome-wide Methylation
25%
Methylation Markers
25%
First Moment
25%
Second Moment
25%
Statistical Efficiency
25%
Generalized Linear Regression Model
25%
Biochemistry, Genetics and Molecular Biology
Methylation
100%
DNA Methylation
12%
Epigenetic Modification
12%