Package: flowPeaks 1.53.2
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:
flowPeaks_1.53.2.tar.gz
flowPeaks_1.53.2.zip(r-4.5)flowPeaks_1.53.2.zip(r-4.4)flowPeaks_1.53.2.zip(r-4.3)
flowPeaks_1.53.2.tgz(r-4.4-x86_64)flowPeaks_1.53.2.tgz(r-4.4-arm64)flowPeaks_1.53.2.tgz(r-4.3-x86_64)flowPeaks_1.53.2.tgz(r-4.3-arm64)
flowPeaks_1.53.2.tar.gz(r-4.5-noble)flowPeaks_1.53.2.tar.gz(r-4.4-noble)
flowPeaks_1.53.2.tgz(r-4.4-emscripten)flowPeaks_1.53.2.tgz(r-4.3-emscripten)
flowPeaks.pdf |flowPeaks.html✨
flowPeaks/json (API)
# Install 'flowPeaks' in R: |
install.packages('flowPeaks', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- barcode - The barcode dataset
- barcode.cid - The barcode dataset
- concave - The concave dataset
- concave.cid - The concave dataset
On BioConductor:flowPeaks-1.53.0(bioc 3.21)flowPeaks-1.52.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologyflowcytometryclusteringgating
Last updated 2 days agofrom:8974c0d5ab. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win-x86_64 | OK | Nov 22 2024 |
R-4.5-linux-x86_64 | OK | Nov 22 2024 |
R-4.4-win-x86_64 | OK | Nov 22 2024 |
R-4.4-mac-x86_64 | OK | Nov 22 2024 |
R-4.4-mac-aarch64 | OK | Nov 22 2024 |
R-4.3-win-x86_64 | OK | Nov 22 2024 |
R-4.3-mac-x86_64 | OK | Nov 22 2024 |
R-4.3-mac-aarch64 | OK | Nov 22 2024 |
Exports:adjust.flowPeaksassign.flowPeaksevalClusterflowPeaks
Dependencies:
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 |