DNA methylation arrays as surrogate measures of cell mixture distribution

Background There has been a long-standing need in biomedical research for a method that quantifies the normally mixed composition of leukocytes beyond what is possible by simple histological or flow cytometric assessments. The latter is restricted by the labile nature of protein epitopes, requiremen...

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Vydané v:	BMC bioinformatics Ročník 13; číslo 1; s. 86
Hlavní autori:	Houseman, Eugene Andres, Accomando, William P, Koestler, Devin C, Christensen, Brock C, Marsit, Carmen J, Nelson, Heather H, Wiencke, John K, Kelsey, Karl T
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 08.05.2012 BioMed Central Ltd Springer Nature B.V BMC
Predmet:	Algorithms Analysis Antigenic determinants B cells Bioinformatics Biomarkers Biomedical and Life Sciences Blood Cell differentiation Colleges & universities Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer programs Computer Simulation Cytotoxicity Data Interpretation, Statistical Data processing Deoxyribonucleic acid Differentiation Disease DNA DNA Methylation Down Syndrome - blood Down Syndrome - diagnosis Down Syndrome - immunology Epidemiology Epigenesis, Genetic Epigenetics Epitopes Female Flow cytometry Gene expression Gene Expression Profiling Head and neck cancer Head and Neck Neoplasms - blood Head and Neck Neoplasms - diagnosis Head and Neck Neoplasms - immunology Humans Immune system Leukocyte Count - methods Leukocytes Leukocytes - immunology Life Sciences Lymphocytes Medical research Medicine, Experimental Metabolic disorders Methylation Microarrays Obesity - blood Obesity - genetics Obesity - immunology Oligonucleotide Array Sequence Analysis - statistics & numerical data Ovarian cancer Ovarian Neoplasms - blood Ovarian Neoplasms - diagnosis Ovarian Neoplasms - immunology Pathogenesis Peripheral blood Research Article Science Software Squamous cell carcinoma Statistical methods Subpopulations Down Syndrome Ovarian Cancer Data Human White Blood Cell Linear Mixed Effect Model Natural Killer Cell
ISSN:	1471-2105, 1471-2105
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