Package: flowPeaks 1.59.0
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_1.59.0.tar.gz
flowPeaks_1.59.0.zip(r-4.7)flowPeaks_1.59.0.zip(r-4.6)flowPeaks_1.59.0.zip(r-4.5)
flowPeaks_1.59.0.tgz(r-4.6-x86_64)flowPeaks_1.59.0.tgz(r-4.6-arm64)flowPeaks_1.59.0.tgz(r-4.5-x86_64)flowPeaks_1.59.0.tgz(r-4.5-arm64)
flowPeaks_1.59.0.tar.gz(r-4.7-arm64)flowPeaks_1.59.0.tar.gz(r-4.7-x86_64)flowPeaks_1.59.0.tar.gz(r-4.6-arm64)flowPeaks_1.59.0.tar.gz(r-4.6-x86_64)
flowPeaks_1.59.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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')) |
- 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.
immunooncologyflowcytometryclusteringgatinggslcpp
Last updated from:da65d2e45a. Checks:1 ERROR, 10 OK, 3 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 145 | ||
| linux-devel-arm64 | OK | 130 | ||
| linux-devel-x86_64 | OK | 194 | ||
| source / vignettes | OK | 196 | ||
| linux-release-arm64 | OK | 179 | ||
| linux-release-x86_64 | OK | 152 | ||
| macos-release-arm64 | OK | 124 | ||
| macos-release-x86_64 | OK | 285 | ||
| macos-oldrel-arm64 | OK | 98 | ||
| macos-oldrel-x86_64 | OK | 230 | ||
| windows-devel | WARNING | 161 | ||
| windows-release | WARNING | 148 | ||
| windows-oldrel | WARNING | 234 | ||
| wasm-release | OK | 118 |
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 |
