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README.md
In PeacoQC: Peak-based selection of high quality cytometry data
PeacoQC
Peak-based selection of high quality cytometry data
Introduction
The PeacoQC package provides quality control functions that will check
for monotonic increasing channels and that will remove outliers and unstable
events introduced due to e.g. clogs, speed changes etc. during the measurement
of your sample. It also provides the functionality of visualising the quality
control result of only one sample and the visualisation of the results of
multiple samples in one experiment.
Installation
You can install this package using the devtools library.
BiocManager::install("ComplexHeatmap")
devtools::install_github("saeyslab/PeacoQC")
Try the PeacoQC package in your browser
Any scripts or data that you put into this service are public.
PeacoQC documentation built on Nov. 8, 2020, 8:18 p.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
PeacoQC
Peak-based selection of high quality cytometry data
Introduction
The PeacoQC package provides quality control functions that will check for monotonic increasing channels and that will remove outliers and unstable events introduced due to e.g. clogs, speed changes etc. during the measurement of your sample. It also provides the functionality of visualising the quality control result of only one sample and the visualisation of the results of multiple samples in one experiment.
Installation
You can install this package using the devtools library.
BiocManager::install("ComplexHeatmap")
devtools::install_github("saeyslab/PeacoQC")
Try the PeacoQC package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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