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isva: Independent Surrogate Variable Analysis
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011, <doi: 10.1093/bioinformatics/btr171>).
Getting started
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Package details |
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| Author | Andrew E Teschendorff |
| Maintainer | Andrew Teschendorff <a.teschendorff@ucl.ac.uk> |
| License | GPL-2 |
| Version | 1.9 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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