Package: flowPeaks 1.59.0

Yongchao Ge

flowPeaks: An R package for flow data clustering

A fast and automatic clustering to classify the cells into subpopulations based on finding the peaks from the overall density function generated by K-means.

Authors:Yongchao Ge<[email protected]>

flowPeaks_1.59.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flowPeaks/json (API)

# Install 'flowPeaks' in R:

install.packages('flowPeaks', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

gsl– GNU Scientific Library (GSL)
c++– GNU Standard C++ Library v3

Datasets:

barcode - The barcode dataset
barcode.cid - The barcode dataset
concave - The concave dataset
concave.cid - The concave dataset

On BioConductor:flowPeaks-1.59.0(bioc 3.24)flowPeaks-1.58.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncology flowcytometry clustering gating gsl cpp

5.82 score 3 packages 37 scripts 11 mentions 4 exports 0 dependencies

Last updated from:da65d2e45a. Checks:1 ERROR, 10 OK, 3 WARNING. Indexed: yes.

Target	Result	Time
bioc-checks	ERROR	150
linux-devel-arm64	OK	155
linux-devel-x86_64	OK	277
source / vignettes	OK	203
linux-release-arm64	OK	144
linux-release-x86_64	OK	203
macos-release-arm64	OK	126
macos-release-x86_64	OK	302
macos-oldrel-arm64	OK	127
macos-oldrel-x86_64	OK	286
windows-devel	WARNING	135
windows-release	WARNING	159
windows-oldrel	WARNING	163
wasm-release	OK	663

Exports:adjust.flowPeaks assign.flowPeaks evalCluster flowPeaks

Dependencies:

Tutorial of flowPeaks package

Licensing | Overview | Installation | Examples | Reading the data from flowFrame

Rendered fromflowPeaks-guide.Rnwusingutils::Sweave

Last update: 2018-09-06
Started: 2013-11-01

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Adjusting the smoothing and merging behavior of the flowPeaks results	adjust.flowPeaks
Obtain the flowPeaks cluster lables with the option of identifying outliers and applying to a new data set	assign.flowPeaks
The barcode dataset	barcode barcode.cid
The concave dataset	concave concave.cid
evaulate the result of a clustering algorihm by comparing it with the gold standard	evalCluster
Doing the flowPeaks analysis	flowPeaks
Plot the results generated by flowPeaks	plot.flowPeaks
The display of the flowPeaks results	print.flowPeaks
The summary of the flowPeaks results	summary.flowPeaks