exprso (0.2.0)

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Rapid Implementation of Machine Learning Algorithms for Genomic Data.

http://github.com/tpq/exprso
http://cran.r-project.org/web/packages/exprso

Supervised machine learning has an increasingly important role in data analysis. This package introduces a framework for rapidly implementing supervised machine learning in a high-throughput manner. This package provides a user-friendly interface that empowers investigators to execute state-of-the-art binary and multi-class classification, including deep learning, with minimal programming experience necessary.

Maintainer: Thomas Quinn
Author(s): Thomas Quinn [aut, cre], Daniel Tylee [ctb]

License: GPL-2

Uses: cluster, e1071, kernlab, lattice, magrittr, MASS, nnet, plyr, randomForest, ROCR, sampling, testthat, pathClass, knitr, mRMRe, h2o, rmarkdown, propr

Released 3 days ago.


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