Literature DB >> 25644269

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

Dario Strbenac1, Graham J Mann1, John T Ormerod1, Jean Y H Yang1.   

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.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Mesh:

Year:  2015        PMID: 25644269     DOI: 10.1093/bioinformatics/btv066

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  scFeatures: multi-view representations of single-cell and spatial data for disease outcome prediction.

Authors:  Yue Cao; Yingxin Lin; Ellis Patrick; Pengyi Yang; Jean Yee Hwa Yang
Journal:  Bioinformatics       Date:  2022-10-14       Impact factor: 6.931

2.  Differential distribution improves gene selection stability and has competitive classification performance for patient survival.

Authors:  Dario Strbenac; Graham J Mann; Jean Y H Yang; John T Ormerod
Journal:  Nucleic Acids Res       Date:  2016-05-17       Impact factor: 16.971

3.  mAPKL: R/ Bioconductor package for detecting gene exemplars and revealing their characteristics.

Authors:  Argiris Sakellariou; George Spyrou
Journal:  BMC Bioinformatics       Date:  2015-09-15       Impact factor: 3.169

4.  Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine.

Authors:  Kevin Y X Wang; Gulietta M Pupo; Varsha Tembe; Ellis Patrick; Dario Strbenac; Sarah-Jane Schramm; John F Thompson; Richard A Scolyer; Samuel Muller; Garth Tarr; Graham J Mann; Jean Y H Yang
Journal:  NPJ Digit Med       Date:  2022-07-04
  4 in total

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