DiffVar: a new method for detecting differential variability with application to methylation in cancer and aging

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    Author
    Phipson, B; Oshlack, A
    Date
    2014-01-01
    Source Title
    Genome Biology
    Publisher
    BMC
    University of Melbourne Author/s
    Oshlack, Alicia; Phipson, Belinda
    Affiliation
    School of Physics
    Paediatrics (RCH)
    Metadata
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    Document Type
    Journal Article
    Citations
    Phipson, B. & Oshlack, A. (2014). DiffVar: a new method for detecting differential variability with application to methylation in cancer and aging. GENOME BIOLOGY, 15 (9), https://doi.org/10.1186/s13059-014-0465-4.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/257007
    DOI
    10.1186/s13059-014-0465-4
    Abstract
    Methylation of DNA is known to be essential to development and dramatically altered in cancers. The Illumina HumanMethylation450 BeadChip has been used extensively as a cost-effective way to profile nearly half a million CpG sites across the human genome. Here we present DiffVar, a novel method to test for differential variability between sample groups. DiffVar employs an empirical Bayes model framework that can take into account any experimental design and is robust to outliers. We applied DiffVar to several datasets from The Cancer Genome Atlas, as well as an aging dataset. DiffVar is available in the missMethyl Bioconductor R package.

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