Package: iC10TrainingData 2.0.1

iC10TrainingData: Training Datasets for iC10 Package

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.

Authors:Oscar M Rueda and Jose Antonio Seoane Fernandez

iC10TrainingData_2.0.1.tar.gz
iC10TrainingData_2.0.1.zip(r-4.5)iC10TrainingData_2.0.1.zip(r-4.4)iC10TrainingData_2.0.1.zip(r-4.3)
iC10TrainingData_2.0.1.tgz(r-4.4-any)iC10TrainingData_2.0.1.tgz(r-4.3-any)
iC10TrainingData_2.0.1.tar.gz(r-4.5-noble)iC10TrainingData_2.0.1.tar.gz(r-4.4-noble)
iC10TrainingData_2.0.1.tgz(r-4.4-emscripten)iC10TrainingData_2.0.1.tgz(r-4.3-emscripten)
iC10TrainingData.pdf |iC10TrainingData.html
iC10TrainingData/json (API)

# Install 'iC10TrainingData' in R:
install.packages('iC10TrainingData', repos = c('https://rueda-lab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • IntClustMemb - Class Membership for the training set
  • Map.All - Probe mapping of the complete set of features of the training set
  • Map.CN - Probe mapping of the copy number features of the training set.
  • Map.Exp - Probe mapping of the Expression features of the training set
  • train.CN - Copy number data for the training set
  • train.Exp - Expression data for the training set.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

0 exports 1.51 score 0 dependencies 5 dependents 7 scripts 743 downloads

Last updated 2 months agofrom:1e41b8cc14. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winOKSep 16 2024
R-4.5-linuxOKSep 16 2024
R-4.4-winOKSep 16 2024
R-4.4-macOKSep 16 2024
R-4.3-winOKSep 16 2024
R-4.3-macOKSep 16 2024

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