Published October 7, 2022
| Version v1
Conference paper
Analyzing single-cell trajectories with augmented machine learning methods predicts cancer drugs response in live-cell microscopy assays
Contributors
Others:
- Université Côte d'Azur, Inria, INRAE, CNRS, Sorbonne Université, Biocore team, Sophia Antipolis, France
- Université Côte d'Azur (UCA)
- School of Informatics, University of Edinburgh,Edinburgh EH8 9AB, United Kingdom
- Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France
Description
International audience
Additional details
Identifiers
- URL
- https://hal.archives-ouvertes.fr/hal-03868584
- URN
- urn:oai:HAL:hal-03868584v1
Origin repository
- Origin repository
- UNICA