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ClassifyR: an R package for performance assessment of classification with applications to transcriptomics.
Strbenac, Dario; Mann, Graham J; Ormerod, John T; Yang, Jean Y H.
Affiliation
  • Strbenac D; School of Mathematics and Statistics, University of Sydney, New South Wales, Australia and Melanoma Institute Australia, Sydney, New South Wales, Australia.
  • Mann GJ; School of Mathematics and Statistics, University of Sydney, New South Wales, Australia and Melanoma Institute Australia, Sydney, New South Wales, Australia.
  • Ormerod JT; School of Mathematics and Statistics, University of Sydney, New South Wales, Australia and Melanoma Institute Australia, Sydney, New South Wales, Australia.
  • Yang JY; School of Mathematics and Statistics, University of Sydney, New South Wales, Australia and Melanoma Institute Australia, Sydney, New South Wales, Australia.
Bioinformatics ; 31(11): 1851-3, 2015 Jun 01.
Article in En | MEDLINE | ID: mdl-25644269
ABSTRACT
UNLABELLED Although a large collection of classification software packages exist in R, a new generic framework for linking custom classification functions with classification performance measures is needed. A generic classification framework has been designed and implemented as an R package in an object oriented style. Its design places emphasis on parallel processing, reproducibility and extensibility. Finally, a comprehensive set of performance measures are available to ease post-processing. Taken together, these important characteristics enable rapid and reproducible benchmarking of alternative classifiers. AVAILABILITY AND IMPLEMENTATION ClassifyR is implemented in R and can be obtained from the Bioconductor project http//bioconductor.org/packages/release/bioc/html/ClassifyR.html.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Gene Expression Profiling Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: Australia
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Gene Expression Profiling Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2015 Type: Article Affiliation country: Australia