SmartSVA: Implementation of Smart SVA

Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional genomic data. The algorithm is based on the popular 'SVA' package and proposes a revision on it that achieves more than 10 times faster running time while trading no accuracy loss in return.

AuthorJun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Date of publication2016-11-24 00:05:49
MaintainerJun Chen <Chen.Jun2@mayo.edu>
LicenseGPL-3
Version0.1.1

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Files in this package

SmartSVA
SmartSVA/src
SmartSVA/src/functions.cpp
SmartSVA/src/RcppExports.cpp
SmartSVA/NAMESPACE
SmartSVA/R
SmartSVA/R/SmartSVA.R SmartSVA/R/RcppExports.R
SmartSVA/MD5
SmartSVA/DESCRIPTION
SmartSVA/man
SmartSVA/man/smartsva.cpp.Rd SmartSVA/man/smartsva.Rd

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