plger/iPSCpoweR: iPSCpoweR: transcriptomics-based evaluation of experimental designs for iPSC disease modeling
Performs permutation analyses on iPSC transcriptomic datasets such as HipSci's in order to assess power and specificity of different experimental designs for iPSC disease-modeling.
Getting started
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Package details |
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| Author | Pierre-Luc Germain |
| Maintainer | <pierre.germain@ieo.eu> |
| License | GPL |
| Version | 0.5.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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