Article

Network-aware self-supervised learning enables high-content phenotypic screening for genetic modifiers of neuronal activity dynamics

2025-02-05

Abstract excerpt

High-throughput phenotypic screening has historically relied on manually selected features, limiting our ability to capture complex cellular processes, particularly neuronal activity dynamics. While recent advances in self-supervised learning have revolutionized the ability to study cellular morphology and transcriptomics, dynamic cellular processes have remained challenging to phenotypically profile. To address t...

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Literature Corpus work: f1cec906-890a-5154-8720-959d22b9fec9
DOI: 10.1101/2025.02.04.636489

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