MLSeq: Machine learning interface for RNA-Seq data

This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART, to RNA-Seq data.

AuthorGokmen Zararsiz, Dincer Goksuluk, Selcuk Korkmaz, Vahap Eldem, Izzet Parug Duru, Turgay Unver, Ahmet Ozturk
Date of publicationNone
MaintainerGokmen Zararsiz <gokmenzararsiz@hotmail.com>
LicenseGPL(>=2)
Version1.14.1

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Files

MLSeq/DESCRIPTION
MLSeq/NAMESPACE
MLSeq/R
MLSeq/R/class.R MLSeq/R/classify.R MLSeq/R/generics.R MLSeq/R/methods.R MLSeq/R/predictClassify.R
MLSeq/README
MLSeq/build
MLSeq/build/vignette.rds
MLSeq/data
MLSeq/data/cervical.rda
MLSeq/inst
MLSeq/inst/doc
MLSeq/inst/doc/MLSeq.R
MLSeq/inst/doc/MLSeq.Rnw
MLSeq/inst/doc/MLSeq.pdf
MLSeq/inst/extdata
MLSeq/inst/extdata/cervical.txt
MLSeq/man
MLSeq/man/MLSeq-class.Rd MLSeq/man/MLSeq-package.Rd MLSeq/man/cervical.Rd MLSeq/man/classify.Rd MLSeq/man/confusionMat.Rd MLSeq/man/deseqTransform.Rd MLSeq/man/method.Rd MLSeq/man/normalization.Rd MLSeq/man/predictClassify.Rd MLSeq/man/ref.Rd MLSeq/man/trained.Rd
MLSeq/vignettes
MLSeq/vignettes/MLSeq.Rnw

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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