DPoP: Derivative Profiling omics Package

Identify differential signals from your dynamic omics data

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Cite As

Harley Edwards (2026). DPoP: Derivative Profiling omics Package (https://www.mathworks.com/matlabcentral/fileexchange/129184-dpop-derivative-profiling-omics-package), MATLAB Central File Exchange. Retrieved .

This work is further described in the research article titled below, which is currently in review. "Using flux theory in dynamic omics data sets to identify differentially changing signals using DPoP" Authors: Harley Edwards, Joseph Zavorskas, Walker Huso, Alexander G. Doan, Caton Silbiger, Steven Harris, Ranjan Srivastava, Mark R. Marten,* Institiutions: UMBC, UConn, IowaState

This material is based upon work supported by the National Science Foundation under Grant No. 2006189. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.1.2

Updated Acknowledgements

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1.1.1

Included links to clustering app averaging app

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1.1.0

Fixed typos and added information to README file

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1.0.0

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