article Open AccessTop 1% cited
Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis
BMC Bioinformatics · 2010 · Vol. 11(1) · pp. 587–587
Pan Du✉(Northwestern University)Xiao Zhang(Northwestern University)Chiang‐Ching Huang(Northwestern University)Nadereh Jafari(Northwestern University)Warren A. Kibbe(Northwestern University)Lifang Hou(Northwestern University)Simon Lin(Northwestern University)
Abstract
The Beta-value has a more intuitive biological interpretation, but the M-value is more statistically valid for the differential analysis of methylation levels. Therefore, we recommend using the M-value method for conducting differential methylation analysis and including the Beta-value statistics when reporting the results to investigators.
Epigenetics and DNA MethylationGenetic Syndromes and ImprintingRNA modifications and cancerMethylationDNA methylationCpG siteEpigeneticsComputational biologyValue (mathematics)BiologyStatisticsGeneticsMathematics
MeSH terms
Data Interpretation, StatisticalCpG IslandsDNA MethylationMicroarray Analysis
Funding
- National Institutes of Health
Citations
2,270
FWCI
17.58
field-weighted impact
References
20
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100%
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Citations per year
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References
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Nature Biotechnology · 2006 · 2,162 citations
CpG island hypermethylation and tumor suppressor genes: a booming present, a brighter future
Oncogene · 2002 · 1,222 citations
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