article Open AccessTop 1% cited
DNA methylation arrays as surrogate measures of cell mixture distribution
BMC Bioinformatics · 2012 · Vol. 13(1) · pp. 86–86
E. Andrés Houseman✉(Oregon State University)William P. Accomando(Brown University)Devin C. Koestler(Dartmouth College)Brock C. Christensen(Dartmouth College)Carmen J. Marsit(Dartmouth College)Heather H. Nelson(University of Minnesota)John K. Wiencke(Neurological Surgery)Karl T. Kelsey(Brown University)
Abstract
Our method, in combination with an appropriate external validation set, promises new opportunities for large-scale immunological studies of both disease states and noxious exposures.
Epigenetics and DNA MethylationSingle-cell and spatial transcriptomicsCancer-related molecular mechanisms researchDNA methylationBiologyComputational biologyHead and neck squamous-cell carcinomaDNA microarrayImmune systemDNAMethylationBioinformaticsImmunology
MeSH terms
Computer SimulationData Interpretation, StatisticalDown SyndromeFemaleHead and Neck NeoplasmsHumansLeukocyte CountLeukocytesObesityOvarian NeoplasmsDNA MethylationOligonucleotide Array Sequence AnalysisGene Expression ProfilingEpigenesis, Genetic
Funding
- National Institutes of Health
Citations
3,416
FWCI
46.31
field-weighted impact
References
58
Percentile
100%
vs. same field & year
Citations per year
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Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
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Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis
PLoS Genetics · 2007 · 2,139 citations
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