Performing single-cell imputation in a way that preserves the biological variations in the data. The package clusters the input data to do imputation for each cluster, and do a distribution check using the Anderson-Darling normality test to impute dropouts using mean or median (Yazici, B., & Yolacan, S. (2007) <doi:10.1080/10629360600678310>).
| Version: | 0.1 |
| Imports: | magrittr, dplyr, nortest, mclust, scDHA |
| Published: | 2023-11-17 |
| DOI: | 10.32614/CRAN.package.ScRNAIMM |
| Author: | Mohamed Soudy [aut, cre], Sascha Jung [aut], Antonio DEL SOL [aut] |
| Maintainer: | Mohamed Soudy <Mohmedsoudy2009 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ScRNAIMM results |
| Reference manual: | ScRNAIMM.pdf |
| Package source: | ScRNAIMM_0.1.tar.gz |
| Windows binaries: | r-devel: ScRNAIMM_0.1.zip, r-release: ScRNAIMM_0.1.zip, r-oldrel: ScRNAIMM_0.1.zip |
| macOS binaries: | r-devel (arm64): ScRNAIMM_0.1.tgz, r-release (arm64): ScRNAIMM_0.1.tgz, r-oldrel (arm64): ScRNAIMM_0.1.tgz, r-devel (x86_64): ScRNAIMM_0.1.tgz, r-release (x86_64): ScRNAIMM_0.1.tgz, r-oldrel (x86_64): ScRNAIMM_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ScRNAIMM to link to this page.