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
- Version 1.1.2 (16.8 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux