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iC10TrainingData
View on CRAN: Click
here
Download and install iC10TrainingData package within the R console
Install from CRAN:
install.packages("iC10TrainingData")
Install from Github:
library("remotes")
install_github("cran/iC10TrainingData")
Install by package version:
library("remotes")
install_version("iC10TrainingData", "2.0.1")
Attach the package and use:
library("iC10TrainingData")
Maintained by
Oscar M. Rueda
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.iC10TrainingData . iC10TrainingData results . iC10TrainingData.pdf . iC10TrainingData_2.0.1.tar.gz . iC10TrainingData_2.0.1.zip . iC10TrainingData_2.0.1.zip . iC10TrainingData_2.0.1.zip . iC10TrainingData_2.0.1.tgz . iC10TrainingData_2.0.1.tgz . iC10TrainingData_2.0.1.tgz . iC10TrainingData_2.0.1.tgz . iC10TrainingData archive . https://CRAN.R-project.org/package=iC10TrainingData .
First Published: 2014-06-18
Latest Update: 2018-08-24
Description:
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.
How to cite:
Oscar M. Rueda (2014). iC10TrainingData: Training Datasets for iC10 Package. R package version 2.0.1, https://cran.r-project.org/web/packages/iC10TrainingData. Accessed 01 May. 2025.
Previous versions and publish date:
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Complete documentation for iC10TrainingData
Functions, R codes and Examples using
the iC10TrainingData R package
Some associated functions: IntClustMemb . Map.All . Map.CN . Map.Exp . iC10TrainingData-package . train.CN . train.Exp .
Some associated R codes: Full iC10TrainingData package functions and examples
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