Sconify

DOI: 10.18129/B9.bioc.Sconify  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see Sconify.

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

Bioconductor version: 3.17

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")):

Installation

To install this package, start R (version "4.3") and enter:

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

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")

 

HTML R Script Data Quality
HTML R Script Final Post-Processing Steps for Scone
HTML R Script Finding Ideal K
HTML R Script General Scone Analysis
HTML R Script How to process FCS files for downstream use in R
PDF   Reference Manual

Details

biocViews FlowCytometry, ImmunoOncology, MultipleComparison, SingleCell, Software, Visualization
Version 1.20.0
In Bioconductor since BioC 3.7 (R-3.5) (5.5 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports tibble, dplyr, FNN, flowCore, Rtsne, ggplot2, magrittr, utils, stats, readr
LinkingTo
Suggests knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package Sconify_1.20.0.tar.gz
Windows Binary Sconify_1.20.0.zip
macOS Binary (x86_64) Sconify_1.20.0.tgz
macOS Binary (arm64) Sconify_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Sconify
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/Sconify
Bioc Package Browser https://code.bioconductor.org/browse/Sconify/
Package Short Url https://bioconductor.org/packages/Sconify/
Package Downloads Report Download Stats

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