A Kolmogorov metric embedding for live cell microscopy signaling patterns
All of the software, including the phantom data generation and analysis, is available free and open-source, as described in the 'Data Availability' section.
Authors
- Agne Frismantiene (ORCID: https://orcid.org/0000-0002-2018-2986)
- Andrew R. Cohen (ORCID: https://orcid.org/0000-0002-7707-5970)
- Yannick Blum (ORCID: https://orcid.org/0000-0002-6837-7803)
- Mark Winter (ORCID: https://orcid.org/0000-0003-1180-1957)
- Olivier Pertz (ORCID: https://orcid.org/0000-0001-8579-4919)
- Paolo Armando Gagliardi (ORCID: https://orcid.org/0000-0002-4818-035X)
- Layton Aho
- Marc DeCarlo
Institutions
- University of Bern (CH)
- Institute of Cell Biology (UA)
- Drexel University (US)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2025-03-22
- DOI
- https://doi.org/10.1093/bioadv/vbaf063
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00