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A R package to apply Batch Normalization to cytometry

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cytoBatchNorm

The goal of cytoBatchNorm is to normalize cytometry data using a control sample that is labeled and measured in each batch.

Installation

cytoBatchNorm is not available on CRAN.

You can install the latest version from GitHub with:

# the devtools package must be present
# if not, install devtools with the following command
# install.packages("devtools")
devtools::install_github("i-cyto/cytoBatchNorm")

Just be sure to install flowCore from Bioconductor first.

Usages

Graphical User Interface

For an interactive use, type the following commands:

# load the library, once per R session
library(cytoBatchNorm)
# execute the following command for each dataset or set of parameters
cytoBatchNormGUI(roots = c(PRJ="/path/to/results", FCS="/path/to/FCS_files"))
# you have to set the paths to results and FCS files
# if you don't know how to retrieve these 2 information, then for each path,
# use the command to select any file in the target path:
# gsub("\\", "/", dirname(file.choose()), fixed = TRUE)

Writing scripts

For using the API, look at vignettes.

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A R package to apply Batch Normalization to cytometry

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