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 '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.
- Version0.1.3
- R version≥ 3.1.0
- LicenseGPL-3
- Needs compilation?Yes
- Last release05/28/2017
Team
Jun Chen
Jun Chen, Ehsan Behnam
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends4 packages
- Imports3 packages
- Linking To2 packages
- Reverse Imports2 packages