
BIOCONDUCTOR . ORG {
}
Title:
Bioconductor - iasva
Description:
Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) is a statistical framework to uncover hidden sources of variation even when these sources are correlated. IA-SVA provides a flexible methodology to i) identify a hidden factor for unwanted heterogeneity while adjusting for all known factors; ii) test the significance of the putative hidden factor for explaining the unmodeled variation in the data; and iii), if significant, use the estimated factor as an additional known factor in the next iteration to uncover further hidden factors.
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Keywords {🔍}
bioconductor, package, packages, iasva, version, hidden, release, factor, aut, source, install, binary, learn, developers, started, software, iteratively, adjusted, surrogate, variable, analysis, uncover, sources, variation, heterogeneity, factors, data, donghyung, lee, anthony, cheng, jaxorg, installation, start, enter, documentation, system, rnaseq, details, bioc, stats, url, macos, iasvatgz, repository, git, clone, reports, code, registration,
Topics {✒️}
org/packages/iasva source repository joint galaxy/bioconductor conference bioconductor release tgz source repository source package release //code bioconductor support site nathan lawlor [aut] script reference manual gz windows binary zip macos binary tgz macos binary package installed donghyung lee [aut anthony cheng [aut] git clone https detecting hidden heterogeneity details biocviews biocparallel system requirements putative hidden factor package uncover hidden sources packages started install bioconductor //bioconductor hidden factor unwanted heterogeneity hidden factors registration open ia-sva statistical framework flexible methodology estimated factor quietly = true older versions pdf news gpl-2 depends developer access released version devel version statisticalmethod version unmodeled variation view documentation url download stats org install iasva
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