ClassifyR: an R package for performance assessment of classification with applications to transcriptomics

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 orient...

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Bibliographic Details
Published in:Bioinformatics 2015-06, Vol.31 (11), p.1851-1853
Main Authors: Strbenac, Dario, Mann, Graham J, Ormerod, John T, Yang, Jean Y H
Format: Article
Language:English
Subjects:
Bioinformatics
Classification
Classification - methods
Extensibility
Gene Expression Profiling
Humans
HyperText Markup Language
Linking
Object oriented
Packages
Software
Software packages
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Summary: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. ClassifyR is implemented in R and can be obtained from the Bioconductor project: http://bioconductor.org/packages/release/bioc/html/ClassifyR.html.
ISSN:1367-4803
1367-4811
1460-2059
DOI:10.1093/bioinformatics/btv066