Recursion Pharmaceuticals, Inc.

Nathan Henry Lazar

Berton Allen Earnshaw

Renat Nailevich Khaliullin

Mason L Victors

Blake C Borgeson

James Douglas Jensen

Peter Foster McLean

Safiye Celik

Conor Austin Forsman Tillinghast

Marta Marie Fay

James Benjamin Taylor

Kyle Rollins Hansen

Imran Saeedul Haque

Jacob Carter Cooper

Seyhmus Guler

Katie-Rose Skelly

Methods and systems for evaluating a query perturbation, in a cell based assay representing a test state, are provided. Control data points having dimensions representing measurements of different features across control cell aliquots are obtained. Test data points having dimensions representing measurements of different features across test cell aliquots are obtained. A composite test vector is computed between measures of central tendency across the control data points and measures of central tendency across the test data points. Query perturbation data points having dimensions representing measurements of different features across perturbation cell aliquots are obtained. A composite query perturbation vector is computed between measures of central tendency across the control data points and measures of central tendency across the plurality of query perturbation data points.

Systems and methods for evaluating query perturbations

The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning and digital embedding processes to generate digital maps of biology and user interfaces for evaluating map efficacy. In particular, in one or more embodiments, the disclosed systems receive perturbation data for a plurality of perturbation experiment units corresponding to a plurality of perturbation classes. Further, the systems generate, utilizing a machine learning model, a plurality of perturbation experiment unit embeddings from the perturbation data. Additionally, the systems align, utilizing an alignment model, the plurality of perturbation experiment unit embeddings to generate aligned perturbation unit embeddings. Moreover, the systems aggregate the aligned perturbation unit embeddings to generate aggregated embeddings. Furthermore, the systems generate perturbation comparisons utilizing the perturbation-level embeddings.

Utilizing machine learning and digital embedding processes to generate digital maps of biology and user interfaces for evaluating map efficacy

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Salt Lake City, UT, United States of America

Nathan Henry Lazar