Published October 7, 2022 | Version v1
Conference paper Metadata-only

Analyzing single-cell trajectories with augmented machine learning methods predicts cancer drugs response in live-cell microscopy assays

Péré, Marielle
Oyarzun, Diego
Chaves, Madalena
Roux, Jérémie
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 Origin repository
Created:
December 4, 2022
Modified:
November 29, 2023