Package: bodenmiller 0.1.1
bodenmiller: Profiling of Peripheral Blood Mononuclear Cells using CyTOF
This data package contains a subset of the Bodenmiller et al, Nat Biotech 2012 dataset for testing single cell, high dimensional analysis and visualization methods.
Authors:
bodenmiller_0.1.1.tar.gz
bodenmiller_0.1.1.zip(r-4.7)bodenmiller_0.1.1.zip(r-4.6)bodenmiller_0.1.1.zip(r-4.5)
bodenmiller_0.1.1.tgz(r-4.6-any)bodenmiller_0.1.1.tgz(r-4.5-any)
bodenmiller_0.1.1.tar.gz(r-4.7-any)bodenmiller_0.1.1.tar.gz(r-4.6-any)
bodenmiller_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bodenmiller/json (API)
| # Install 'bodenmiller' in R: |
| install.packages('bodenmiller', repos = c('https://yannabraham.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yannabraham/bodenmiller/issues
Datasets:
- refAnnots - Reference Annotation
- refFuncMat - Reference Matrix
- refPhenoMat - Reference Matrix
- untreatedAnnots - Untreated Samples with 4 Different Treatments
- untreatedFuncMat - Untreated Samples with 4 Different Treatments
- untreatedPhenoMat - Untreated Samples with 4 Different Treatments
bioinformaticscytofdatasetscience
Last updated from:a5004eabce. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 141 | ||
| source / vignettes | OK | 197 | ||
| linux-release-x86_64 | NOTE | 130 | ||
| macos-release-arm64 | NOTE | 125 | ||
| macos-oldrel-arm64 | NOTE | 132 | ||
| windows-devel | NOTE | 81 | ||
| windows-release | NOTE | 85 | ||
| windows-oldrel | NOTE | 86 | ||
| wasm-release | OK | 142 |
Exports:
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Reference Annotation | refAnnots |
| Reference Matrix (Functional) | refFuncMat |
| Reference Matrix (Phenotypic) | refPhenoMat |
| Untreated Samples with 4 Different Treatments (Annotation) | untreatedAnnots |
| Untreated Samples with 4 Different Treatments (Functional) | untreatedFuncMat |
| Untreated Samples with 4 Different Treatments (Phenotypic) | untreatedPhenoMat |
