TrajPy: empowering feature engineering for trajectory analysis across domains
Python
Graphical user interface
R package
DOI:
10.1093/bioadv/vbae026
Publication Date:
2024-02-24T14:23:28Z
AUTHORS (4)
ABSTRACT
Abstract Motivation Trajectories, which are sequentially measured quantities that form a path, an important presence in many different fields, from hadronic beams physics to electrocardiograms medicine. Trajectory analysis requires the quantification and classification of curves, either by using statistical descriptors or physics-based features. To date, no extensive user-friendly package for trajectory has been readily available, despite its importance potential application across various domains. Results We have developed TrajPy, free, open-source Python serves as complementary tool empowering analysis. This features graphical user interface offers set physical aid characterizing these complex structures. TrajPy already successfully applied studies mitochondrial motility neuroblastoma cell lines silico models migration, combination with image Availability implementation The is 3 released under GNU GPL-3.0 license. It can easily be installed via PyPi, development source code accessible at repository: https://github.com/ocbe-uio/TrajPy/. release also automatically archived DOI 10.5281/zenodo.3656044.
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