Stochastic epigenetic outliers can define field defects in cancer

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  Teschendorff, Andrew E ^a,b,c   Jones, Allison ^c   Widschwendter, Martin ^c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Cancer; Differential methylation; Differential variability; DNA methylation; EWAS; Field defect; Stochastic

Indexed keywords

ALGORITHMS; ALKYLATION; DEFECTS; DISEASES; DNA; FEATURE EXTRACTION; METHYLATION; STATISTICS; STOCHASTIC SYSTEMS;

CANCER; DIFFERENTIAL VARIABILITY; DNA METHYLATION; EWAS; STOCHASTIC;

BIOINFORMATICS;

ALGORITHM; BREAST TUMOR; CARCINOGENESIS; CPG ISLAND; DISEASE COURSE; DNA METHYLATION; EPIGENETICS; FEMALE; GENETICS; HUMAN; PATHOLOGY; PATHOPHYSIOLOGY; SAMPLE SIZE; UTERINE CERVIX TUMOR;

ALGORITHMS; BREAST NEOPLASMS; CARCINOGENESIS; CPG ISLANDS; DISEASE PROGRESSION; DNA METHYLATION; EPIGENOMICS; FEMALE; HUMANS; SAMPLE SIZE; UTERINE CERVICAL NEOPLASMS;

EID: 84963946861     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-1056-z     Document Type: Article

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