Revealing invisible cell phenotypes with conditional generative modeling

Revealing invisible cell phenotypes with conditional generative modeling

Abstract Biological sciences, drug discovery and medicine rely heavily on cell phenotype perturbation and microscope observation. However, most cellular phenotypic changes are subtle and thus hidden from us by natural cell variability: two cells in the same condition already look different. In this...

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Bibliographic Details
Main Authors: Alexis Lamiable, Tiphaine Champetier, Francesco Leonardi, Ethan Cohen, Peter Sommer, David Hardy, Nicolas Argy, Achille Massougbodji, Elaine Del Nery, Gilles Cottrell, Yong-Jun Kwon, Auguste Genovesio
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-42124-6

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https://doi.org/10.1038/s41467-023-42124-6

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