Learning representations for image-based profiling of perturbations
Nikita Moshkov, Michael Bornholdt, Santiago Benoit, Matthew Smith, Claire McQuin, Allen Goodman, Rebecca A. Senft, Yu Han, Mehrtash Babadi, Péter Horváth, Beth A. Cimini, Anne Elizabeth Carpenter, Shantanu Singh, Juan Carlos Caicedo
The paper develops a weakly supervised learning method to learn treatment effect representations from imaging data, improving downstream analysis performance.
Nature Communications · Feb 21, 2024Peer-reviewedBioinformatics