Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators | Data acquisition and preparation | The Reference dataset | The Untreated dataset
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-any)bodenmiller_0.1.1.zip(r-4.6-any)bodenmiller_0.1.1.zip(r-4.5-any)
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 | NOTE | 137 | ||
| source / vignettes | OK | 183 | ||
| linux-release | NOTE | 139 | ||
| macos-release | NOTE | 205 | ||
| macos-oldrel | NOTE | 203 | ||
| windows-devel | NOTE | 84 | ||
| windows-release | NOTE | 80 | ||
| windows-oldrel | NOTE | 67 | ||
| wasm-release | OK | 108 |
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 |