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It provides a framework and a fast and simple way for researchers to evaluate methods (particularly some data-driven methods or their own methods) and then select a best one for data normalization in the gene expression analysis, based on the consistency of metrics and the consistency of datasets. Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Deshui Yu, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan and Shan Gao (2018) <doi:10.1101/251140>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Published: | 2024-03-20 |
| Author: | Zhenfeng Wu , Shan Gao |
| Maintainer: | Shan Gao <gao_shan at mail.nankai.edu.cn> |
| License: | Artistic-2.0 |
| NeedsCompilation: | no |
| CRAN checks: | NormExpression results |
| Reference manual: | NormExpression.pdf |
| Package source: | NormExpression_0.1.1.tar.gz |
| Windows binaries: | r-devel: NormExpression_0.1.1.zip, r-release: NormExpression_0.1.1.zip, r-oldrel: NormExpression_0.1.1.zip |
| macOS binaries: | r-release (arm64): NormExpression_0.1.1.tgz, r-oldrel (arm64): NormExpression_0.1.1.tgz, r-release (x86_64): NormExpression_0.1.1.tgz, r-oldrel (x86_64): NormExpression_0.1.1.tgz |
| Old sources: | NormExpression archive |
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