Caicedo Lab

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8 results found

Cell Painting predicts impact of lung cancer variants

Publication: Web Article

Caicedo JC, Arevalo J, Piccioni F, Bray M-A, Hartland CL, Wu X, Brooks AN, Berger AH, Boehm JS, Carpenter A, et al. Cell Painting predicts impact of lung cancer variants. Molecular Biology of the Cell. 2022;(6).

Jerry Li

Person: Undergraduate Student

MIT SuperUROP

Learning representations for image-based profiling of perturbations

Publication: Web Article

Moshkov N, Bornholdt M, Benoit S, Smith M, McQuin C, Goodman A, Senft R, Han Y, Babadi M, Horvath P, et al. Learning representations for image-based profiling of perturbations. bioRxiv. 2022.

Sam Chen

Person: Associate Computational Biologist

Predicting compound activity from phenotypic profiles and chemical structures

Publication: Unpublished

Moshkov N, Becker T, Yang K, Horvath P, Dančik V, Wagner BK, Clemons P, Singh S, Carpenter AE, Caicedo J. Predicting compound activity from phenotypic profiles and chemical structures. Nature Communications. 2023.

Machine Teaching with Generative Models for Human Learning

Publication: Conference Paper

Doron M, Mozannar H, Sontag D, Caicedo JC. Machine Teaching with Generative Models for Human Learning. In: The International Conference on Machine Learning. 2021.

Deciphering causal genomic templates of complex molecular phenotypes

Publication: Web Article

Bhate SS, Seigal A, Caicedo J. Deciphering causal genomic templates of complex molecular phenotypes. bioRxiv. 2022.

MorphEm: Universal Morphology Embeddings

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Collaborative Research Project: Image-based Readouts of Cellular State using Universal Morphology Embeddings Principal Investigators : Juan C. Caicedo PhD - Broad Institute Bryan Plummer PhD - Boston University All results, software tools, and models will be reported here.

Caicedo Lab