Package: iC10 2.0.3
iC10: A Copy Number and Expression-Based Classifier for Breast Tumours
Implementation of the classifier described in the paper Ali HR et al (2014) <doi:10.1186/s13059-014-0431-1>. It uses copy number and/or expression form breast cancer data, trains a Tibshirani's 'pamr' classifier with the features available and predicts the iC10 group.
Authors:
iC10_2.0.3.tar.gz
iC10_2.0.3.zip(r-4.7-any)iC10_2.0.3.zip(r-4.6-any)iC10_2.0.3.zip(r-4.5-any)
iC10_2.0.3.tgz(r-4.6-any)iC10_2.0.3.tgz(r-4.5-any)
iC10_2.0.3.tar.gz(r-4.7-any)iC10_2.0.3.tar.gz(r-4.6-any)
iC10_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
iC10/json (API)
| # Install 'iC10' in R: |
| install.packages('iC10', repos = c('https://rueda-lab.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:142f338ba0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 156 | ||
| source / vignettes | OK | 150 | ||
| linux-release | OK | 102 | ||
| macos-release | OK | 178 | ||
| macos-oldrel | OK | 187 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 82 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 74 |
Exports:comparegoodnessOfFitiC10matchFeaturesnormalizeFeatures
Dependencies:clusteriC10TrainingDataimputelatticeMatrixpamrsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A Copy Number and Expression-Based Classifier for Breast Tumours | iC10-package |
| Compare results of the iC10 classifier | compare compare.iC10 |
| Internal function for matching copy number features. | getCNfeatures |
| Internal function for matching expression features. | getExpfeatures |
| Goodness of fit results of the iC10 classifier | goodnessOfFit goodnessOfFit.iC10 |
| A copy number and expression-based classfier for breast cancers | iC10 |
| Matching features from the classifier to the test data. | matchFeatures |
| Normalization of expression features | normalizeFeatures |
| Plot results of the iC10 classifier | plot.iC10 |
| Print results of the iC10 classifier | print.iC10 |
| Summary results of the iC10 classifier | summary.iC10 |