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dc.contributor.authorPhipson, B
dc.contributor.authorOshlack, A
dc.date.accessioned2020-12-21T02:38:17Z
dc.date.available2020-12-21T02:38:17Z
dc.date.issued2014-01-01
dc.identifierpii: s13059-014-0465-4
dc.identifier.citationPhipson, 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.
dc.identifier.issn1474-760X
dc.identifier.urihttp://hdl.handle.net/11343/257007
dc.description.abstractMethylation 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.
dc.languageEnglish
dc.publisherBMC
dc.titleDiffVar: a new method for detecting differential variability with application to methylation in cancer and aging
dc.typeJournal Article
dc.identifier.doi10.1186/s13059-014-0465-4
melbourne.affiliation.departmentSchool of Physics
melbourne.affiliation.departmentPaediatrics (RCH)
melbourne.source.titleGenome Biology
melbourne.source.volume15
melbourne.source.issue9
dc.rights.licenseCC BY
melbourne.elementsid1234898
melbourne.contributor.authorOshlack, Alicia
melbourne.contributor.authorPhipson, Belinda
dc.identifier.eissn1474-760X
melbourne.accessrightsOpen Access


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