Functional normalization of 450k methylation array data improves replication in large cancer studies

Genome Biology

Volumn 15, Issue 11, 2014, Pages

  Fortin, Jean Philippe ^a   Labbe, Aurélie ^b,c   Lemire, Mathieu ^d   Zanke, Brent W ^e   Hudson, Thomas J ^d,f   Fertig, Elana J ^g   Greenwood, Celia M T ^b,h   Hansen, Kasper D ^a,i  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b MCGILL UNIVERSITY   (Canada)

^c DOUGLAS MENTAL HEALTH UNIVERSITY INSTITUTE   (Canada)

^d ONTARIO INSTITUTE FOR CANCER RESEARCH   (Canada)

^e OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^f UNIVERSITY OF TORONTO   (Canada)

^g JOHNS HOPKINS UNIVERSITY   (United States)

^h MCGILL UNIVERSITY   (Canada)

ⁱ JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DINUCLEOTIDE; DNA;

ACUTE GRANULOCYTIC LEUKEMIA; ALGORITHM; ARTICLE; CASE CONTROL STUDY; CLEAR CELL CARCINOMA; COHORT ANALYSIS; COLORECTAL CANCER; CONTROLLED STUDY; DNA METHYLATION; DNA REPLICATION; EPIGENETICS; FEMALE; GENE SILENCING; GENETIC HETEROGENEITY; HIGH THROUGHPUT SCREENING; HUMAN; LYMPHOCYTE; MALE; MICROARRAY ANALYSIS; NEOPLASM; VIRUS TRANSFORMATION; X CHROMOSOME; Y CHROMOSOME;

EID: 84990924267     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-014-0503-2     Document Type: Article

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