Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Koestler, Devin C ^a   Jones, Meaghan J ^b   Usset, Joseph ^a   Christensen, Brock C ^c,d   Butler, Rondi A ^e   Kobor, Michael S ^b   Wiencke, John K ^f   Kelsey, Karl T ^e,g  

^a UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c DARTMOUTH MEDICAL SCHOOL   (United States)

^d DARTMOUTH COLLEGE   (United States)

^e BROWN UNIVERSITY   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g BROWN UNIVERSITY   (United States)

Author keywords

Cell heterogeneity; Cell mixture estimation; DNA methylation; EWAS

Indexed keywords

ALGORITHMS; ALKYLATION; BIOINFORMATICS; BLOOD; CYTOLOGY; DNA; FLOW CYTOMETRY; LIBRARIES; MEAN SQUARE ERROR; METHYLATION; MIXTURES;

CELL MIXTURES; DNA METHYLATION; EWAS; FALSE POSITIVE RATES; OPERATING CHARACTERISTICS; PREDICTION PERFORMANCE; ROOT MEAN SQUARE ERRORS; TISSUE SPECIFICITY;

CELLS;

CELL COMPOSITION; CELL FRACTIONATION; CELLULAR DISTRIBUTION; DNA METHYLATION; DNA STRUCTURE; EPIGENETICS; ERROR; FLOW CYTOMETRY; GENETIC POLYMORPHISM; HUMAN; HUMAN CELL; IMMUNOCOMPETENT CELL; LANDSCAPE; LIBRARY; PREDICTION; VALIDATION PROCESS; ADULT; ALGORITHM; CPG ISLAND; CYTOLOGY; GENE LIBRARY; GENETICS; HUMAN GENOME; LEUKOCYTE; METABOLISM;

ADULT; ALGORITHMS; CPG ISLANDS; DNA METHYLATION; FLOW CYTOMETRY; GENE LIBRARY; GENOME, HUMAN; HUMANS; LEUKOCYTES;

EID: 84960082583     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-0943-7     Document Type: Article

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