SmartSVA: Fast and Robust Surrogate Variable Analysis

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 '' 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 <>, Ehsan Behnam <>
MaintainerJun Chen <>
Package repositoryView on CRAN
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SmartSVA documentation built on May 2, 2019, 8:54 a.m.