cellPLATO: an unsupervised method for identifying cell behaviour in heterogeneous cell trajectory data

Advances in imaging, cell segmentation, and cell tracking now routinely produce microscopy datasets of a size and complexity comparable to transcriptomics or proteomics. New tools are required to process this ‘phenomics’ type data. Cell PLasticity Analysis TOol (cellPLATO) is a Python-based analysis...

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Detalles Bibliográficos
Autores principales: Shannon, Michael J., Eisman, Shira E., Lowe, Alan R., Sloan, Tyler, Mace, Emily M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634992/
https://www.ncbi.nlm.nih.gov/pubmed/37961659
http://dx.doi.org/10.1101/2023.10.28.564355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634992/
https://www.ncbi.nlm.nih.gov/pubmed/37961659
http://dx.doi.org/10.1101/2023.10.28.564355

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