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.

Install the latest version of this package by entering the following in R:
install.packages("SmartSVA")
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

View on CRAN

Files

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

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