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RankProd | A bioconductor package for detecting differentially expressed genes in meta-analysis

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Allows detection of differentially expressed features in molecular profiling experiments. RankProd is a non-parametric method that provides a robust and reliable implementation of the Rank Product (RP) methods. The software computes a user-defined number of random paired datasets and evaluates the RP or Rank Statistic (RS) per each of them. The method has also been integrated in the mzMatch pipeline.

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RankProd classification

RankProd specifications

Unique identifier:
OMICS_01313
Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Version:
3.3.4
Requirements:
stats, methods, Rmpfr, gmp
Alternative name:
RankProd 2.0
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Stability:
Beta
Maintained:
Yes

RankProd distribution

versioning

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No versioning.

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RankProd support

Documentation

Maintainers

  • Rainer Breitling <>
  • Francesco Del Carratore <>
  • Andris Jankevics <>
  • Fangxin Hong <>
  • Ben Wittner <>

Credits

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Publications

Institution(s)

Faculty of Science and Engineering, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK; Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK; Department of Social Science Research Methods, Radboud University Nijmegen, Nijmegen, Netherlands; Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, Netherlands; Harvard School of Public Health, Dana-Farber Cancer Institute, Boston, MA, USA

Funding source(s)

Supported by the BBSRC [BB/M017702/1]; “Centre for synthetic biology of fine and speciality chemicals”.

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