Package: exprso
Title: Rapid Implementation of Machine Learning Algorithms for Genomic
        Data
Version: 0.2.0
URL: http://github.com/tpq/exprso
BugReports: http://github.com/tpq/exprso/issues
Authors@R: c(
    person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
    person("Daniel", "Tylee", email = "dantylee@gmail.com", role = "ctb")
    )
Description: 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.
License: GPL-2
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Imports: cluster, MASS, e1071, lattice, magrittr, methods, nnet, plyr,
        stats, randomForest, ROCR, sampling
Depends: R (>= 3.2.2), kernlab
Suggests: Biobase, edgeR, GEOquery, h2o, knitr, limma, mRMRe,
        pathClass, propr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2017-11-18 05:51:58 UTC; thom
Author: Thomas Quinn [aut, cre],
  Daniel Tylee [ctb]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>
Repository: CRAN
Date/Publication: 2017-11-18 06:03:23 UTC
