'Omics' Trajectory Averaging App
- GUI based application for preprocessing or clustering time dynamic 'omics' data without coding experience.
- Inputs and outputs are compatible with my clustering app as well as DPoP.
- Packaged as an installable Matlab App (.mlappinstall), or as a developable app file (.mlapp).
- Data from another omics type is not a problem. Includes example transcriptomic data and example phosphoproteomic data.
- Data in another organism is no problem.
- Includes examples from two different organisms.
- Average trajectories are averaged per row by default.
- Data labels are passed on to the trajectories average.
- Data sets being averaged should be identically sized.
- Points in data set f(x,y) are averaged with the same points in data set g(x,y) for all(x,y) points in data sets f;g,... or as many data sets as indicated.
- See README for data format requirements.
Cite As
Caton Silbiger (2026). 'Omics' Trajectory Averaging App (https://www.mathworks.com/matlabcentral/fileexchange/132258-omics-trajectory-averaging-app), MATLAB Central File Exchange. Retrieved .
This work is part of a collaboration with the following people and institutions: Harley Edwards, Joseph Zavorskas, Walker Huso, Alexander G. Doan, Steven Harris, Ranjan Srivastava, Mark R. Marten, 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.
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