SmartSVA: Fast and Robust Surrogate Variable Analysis
Version 0.1.3

Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.

Getting started

Package details

AuthorJun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Date of publication2017-05-28 07:22:56 UTC
MaintainerJun Chen <Chen.Jun2@mayo.edu>
LicenseGPL-3
Version0.1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SmartSVA")

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SmartSVA documentation built on May 29, 2017, 11:05 p.m.