EntropyExplorer: An R Package for Computing and Comparing Differential Shannon Entropy

Kai Wang, Charles A. Philips, Arnold M. Saxton, Michael A. Langston

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Background: Differential Shannon entropy (DSE) and differential coefficient of variation (DCV) are effective metrics for the study of gene expression data. They can serve to augment differential expression (DE), and be applied in numerous settings whenever one seeks to measure differences in variability rather than mere differences in magnitude. A general purpose, easily accessible tool for DSE and DCV would help make these two metrics available to data scientists. Automated p value computations would additionally be useful, and are often easier to interpret than raw test statistic values alone.

Results: EntropyExplorer is an R package for calculating DSE, DCV and DE. It also computes corresponding p values for each metric. All features are available through a single R function call. Based on extensive investigations in the literature, the Fligner-Killeen test was chosen to compute DCV p values. No standard method was found to be appropriate for DSE, and so permutation testing is used to calculate DSE p values.

Conclusions: EntropyExplorer provides a convenient resource for calculating DSE, DCV, DE and associated p values. The package, along with its source code and reference manual, are freely available from the CRAN public repository at http://cran.r-project.org/web/packages/EntropyExplorer/index.html .

Original languageAmerican English
JournalBMC Research Notes
Volume8
DOIs
StatePublished - Dec 30 2015

Disciplines

  • Computer Sciences

Keywords

  • Differential
  • Differential coefficient of variation
  • Differential expression
  • Shannon entropy
  • Statistical tests

Fingerprint

Dive into the research topics of 'EntropyExplorer: An R Package for Computing and Comparing Differential Shannon Entropy'. Together they form a unique fingerprint.

Cite this