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Training datasets for iC10; which implements the classifier described in the paper 'Genome-driven integrated classification of breast cancer validated in over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy number and/or expression form breast cancer data, trains a pamr classifier (Tibshirani et al.) with the features available and predicts the iC10 group. Genomic annotation for the training dataset has been obtained from Mark Dunning's lluminaHumanv3.db package.
| Version: | 2.0.1 |
| Depends: | R (≥ 3.5.0) |
| Published: | 2024-07-16 |
| DOI: | 10.32614/CRAN.package.iC10TrainingData |
| Author: | Oscar M Rueda and Jose Antonio Seoane Fernandez |
| Maintainer: | Oscar M. Rueda <Oscar.Rueda at mrc-bsu.cam.ac.uk> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | iC10TrainingData results |
| Reference manual: | iC10TrainingData.pdf |
| Package source: | iC10TrainingData_2.0.1.tar.gz |
| Windows binaries: | r-devel: iC10TrainingData_2.0.1.zip, r-release: iC10TrainingData_2.0.1.zip, r-oldrel: iC10TrainingData_2.0.1.zip |
| macOS binaries: | r-release (arm64): iC10TrainingData_2.0.1.tgz, r-oldrel (arm64): iC10TrainingData_2.0.1.tgz, r-release (x86_64): iC10TrainingData_2.0.1.tgz, r-oldrel (x86_64): iC10TrainingData_2.0.1.tgz |
| Old sources: | iC10TrainingData archive |
| Reverse imports: | iC10 |
| Reverse suggests: | GSgalgoR |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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