jenniferfranks/FSQN: Feature Specific Quantile Normalization
Currently, there is a lack of effective methods designed to eliminate platform-based bias. Our package is designed to quantile normalize each feature in a data set according to its corresponding feature in a target distribution. This eliminates distribution based differences resulting from the use of different gene expression profiling platforms.
Getting started
Browse package contents
Package details |
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| Author | Jennifer M. Franks |
| Bioconductor views | Normalization Software WorkflowStep |
| Maintainer | Jennifer M. Franks <franksjenniferm@gmail.com> |
| License | GPL-2 |
| Version | 0.0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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