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Sconify

This is the development version of Sconify; for the stable release version, see Sconify.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7

A toolkit for performing KNN-based statistics for flow and mass cytometry data

DOI: 10.18129/B9.bioc.Sconify

Bioconductor version: Development (3.24)

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, enter citation("Sconify")):

Tyler J Burns. Sconify: A toolkit for performing KNN-based statistics for flow and mass cytometry data. doi:10.18129/B9.bioc.Sconify, R package version 1.33.0, https://bioconductor.org/packages/Sconify.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("Sconify")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Sconify")

Details

Package Archives

Follow Installation instructions to use this package in your R session.