The package uses linear regression analysis to see if the batch is associated with gene expression data and if the batch is associated, the gene expression data is adjusted for batch effects using ComBat (sva package). The batch-corrected data is then visualized and compared to the uncorrected data using Principal Component Analysis (PCA) and k-means clustering.
Package details |
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Maintainer | |
License | `use_mit_license()`, `use_gpl3_license()` or friends to pick a license |
Version | 0.1.0.0000 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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