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Anomaly-based representation for image-based cell profiling preprint @bioRxiv!

Jun 9, 2024
1 min read

We adopted concepts from anomaly detection to improve representations of high-content image-based phenotypic profiling while maintaining them biologically-interpretable!


Project initiated by Naor Kolet and completed by Alon Shpigler, with contributions from our collaborations Shahar Golan and Erin Weisbart.













 
 
 

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 Assaf Zaritsky lab of computational cell dynamics, applying data science to microscopy cell images since 2018

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