Recursion Pharmaceuticals, Inc.

Denton Hallar Greenfield

Mason L Victors

Berton Allen Earnshaw

Safiye Celik

James Douglas Jensen

James Benjamin Taylor

Conor Austin Forsman Tillinghast

Marta Marie Fay

Jacob Carter Cooper

Seyhmus Guler

Kyle Rollins Hansen

Ted Douglas Monchamp

Lovina Roundy

Summer Walid Elias

Michael Joseph Uloth

August Orvis Allen

Condie Thomas Swallow, Ii

Eugene Yin-Chung Ting

Shweta Deepchand Bhandare

Sarah Jordan Devore

Lina Maria Nilsson

Tongzhou Shen

Andrew David Blevins

Michael Haines

Kristin Ann Clark

Sara Marjean Moore

The present disclosure relates to systems, non-transitory computer-readable media, and methods for embedding perturbation data via a machine learning model and filtering, aligning, and aggregating the embeddings to generate a genome-wide perturbation database for real-time generation of perturbation heatmaps. In particular, in one or more embodiments, the disclosed systems can receive a plurality of perturbation images portraying cells from a plurality of wells corresponding to a plurality of cell perturbations. Further, the systems can generate, utilizing a machine learning model, a plurality of well-level image embeddings from the plurality of perturbation images. Moreover, the systems can align, utilizing an alignment model, the plurality of well-level image embeddings to generate aligned well-level image embeddings. Additionally, the systems can aggregate, according to perturbations of one or more perturbation experiments, the well-level image embeddings to generate perturbation-level image embeddings. Furthermore, the systems can generate perturbation comparisons utilizing the perturbation-level image embeddings.

Utilizing machine learning models to synthesize perturbation data to generate perturbation heatmap graphical user interfaces

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Evansville, IN, United States of America

Denton Hallar Greenfield