Interpretable Deep Learning Features in Cell Painting: Anomaly Profiles - AskErinDearBeth Episode 27 | Lab of Computational Cell Dynamics
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Interpretable Deep Learning Features in Cell Painting: Anomaly Profiles - AskErinDearBeth Episode 27 | Lab of Computational Cell Dynamics
Erin Weisbart and Beth Cimini dive into our lab's latest paper on interpretable deep learning for Cell Painting đź’« They presented our anomaly-based representations that encode morphological inter-feature dependencies. As Erin beautifully explains, this approach increases reproducibility and mechanism of action classification while retaining ...
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