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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
rolling linux/noble R-4.5 | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
rolling source/ R- | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
latest linux/jammy R-4.5 | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
latest linux/noble R-4.5 | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
latest source/ R- | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
2026-04-26 source/ R- | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
2026-04-23 source/ R- | SmartSVA_0.1.3.tar.gz |
5.4 KiB |
0.1.3 |
2025-04-20 source/ R- | SmartSVA_0.1.3.tar.gz |
5.4 KiB |