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Causality, Perturbations, Gene Regulation, and Drug Repurposing

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  • UserCaroline Uhler, Co-Director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard Speaker website
  • ClockMonday 28 March 2022, 14:00-15:00
  • HouseZoom.

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An exciting opportunity at the intersection of single-cell biology and machine learning stems from the growing availability of large-scale perturbational data (drugs, knockouts, overexpression, etc.). I will present a framework based on causality and autoencoders that can integrate observational and perturbational data and discuss applications to learning gene regulatory networks as well as predicting the effect of new perturbations. We end by discussing how such a framework can be applied for drug repurposing in the current COVID -19 crisis.

https://zoom.us/j/94724443844?pwd=c1VyTHlkZWF2OCsxUG5oWGlROHJqdz09

This talk is part of the Seminars on Quantitative Biology @ CRUK Cambridge Institute series.

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Cambridge University Engineering Department, LR4 Meeting room 1 cambridge system biology centre Computer Laboratory, William Gates Building, Room FW09

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