
Pierre Baqué
14 posts

Pierre Baqué
@PierreBaqu1
CEO and co-founder at Neural Concept




Introducing PDGrapher - Combinatorial prediction of therapeutically useful chemical and genetic perturbations using causally-inspired neural networks Many methods learn responses to perturbations, but PDGrapher is addressing the inverse problem, which is to infer the perturbagen necessary to achieve a specific response – i.e., directly predict perturbagens by finding what chemical or genetic perturbations elicit a desired response w/ Guadalupe Gonzalez @justguadaa, Isuru Herath, Kirill Veselkov, Michael Bronstein @mmbronstein @HarvardDBMI @KempnerInst @harvard_data @UniofOxford @imperialcollege 🚀 biorxiv.org/content/10.110… 🧬 github.com/mims-harvard/P… 🔬 zitniklab.hms.harvard.edu/projects/PDGra… 🧵 below

Happy to share our latest work (w/ @tagasovska, @stephenrra, @kchonyc, @jkpritch and Aviv Regev) about learning causal representations of single-cell perturbation data sets arxiv.org/pdf/2211.03553….









