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Data-analysis strategies for image-based cell profiling
Caicedo, Juan, Sam Cooper, Florian Heigwer, Scott Warchal, Peng Qiu, Csaba Molnar, Aliaksei Vasilevich, et al. 2017. “Data-Analysis Strategies for Image-Based Cell Profiling”. Nature Methods 14 (9): 849-63.
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After seven wonderful years at the Broad Institute (2016-2023), I have started a new exciting career journey in Madison, WI. Our research group is now at the Morgridge Institute for Research and the University of Wisconsin—Madison. Learn more: https://morgridge.org/research/labs/caicedo/...
Predicting compound activity from phenotypic profiles and chemical structures
Moshkov, Nikita, Tim Becker, Kevin Yang, Peter Horvath, Vlado Dančik, Bridget K Wagner, Paul Clemons, Shantanu Singh, Anne E Carpenter, and Juan Caicedo. 2023. “Predicting Compound Activity from Phenotypic Profiles and Chemical Structures”. Nature Communications.
Machine Teaching with Generative Models for Human Learning
Doron, Michael, Hussein Mozannar, David Sontag, and Juan C. Caicedo. 2021. “Machine Teaching With Generative Models for Human Learning”. In The International Conference on Machine Learning.
Weakly Supervised Learning of Single-Cell Feature Embeddings
Caicedo, Juan, Claire McQuin, Allen Goodman, Shantanu Singh, and Anne Carpenter. 2018. “Weakly Supervised Learning of Single-Cell Feature Embeddings”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9309-18.