Strbenac D, Mann GJ, Ormerod JT, Yang JYH. ClassifyR: an R package for performance assessment of classification with applications to transcriptomics.
ACTA ACUST UNITED AC 2015;
31:1851-3. [PMID:
25644269 DOI:
10.1093/bioinformatics/btv066]
[Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2014] [Accepted: 01/27/2015] [Indexed: 11/14/2022]
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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