This is the development version of Sconify; for the stable release version, see Sconify.
A toolkit for performing KNN-based statistics for flow and mass cytometry dataBioconductor version: Development (3.22)
This package does k-nearest neighbor based statistics and visualizations with flow and mass cytometery data. This gives tSNE maps"fold change" functionality and provides a data quality metric by assessing manifold overlap between fcs files expected to be the same. Other applications using this package include imputation, marker redundancy, and testing the relative information loss of lower dimension embeddings compared to the original manifold.
Author: Tyler J Burns
Maintainer: Tyler J Burns <burns.tyler at gmail.com>
Citation (from within R, entercitation("Sconify")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("Sconify")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Sconify")Follow Installation instructions to use this package in your R session.
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