Hananeh Aliee -- Causal inference and prediction in single-cell genomics [ONLINE]
| Dates: | 25 November 2024 |
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| Times: | 14:00 - 15:00 |
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| What is it: | Seminar |
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| Organiser: | Department of Mathematics |
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| Who is it for: | University staff, External researchers, Current University students |
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| Speaker: | Hana Aliee |
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Join us for this seminar by Hananeh Ailee (Sanger) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. More details about the joint series can be found here https://northwestseminars.great-site.net/ .
The talk will be hosted **online only** via zoom, please contact carl.whitfield@manchester.ac.uk or igor.chernyavsky@manchester.ac.uk for the zoom link, or sign up to the mailing list.
Title: Causal inference and prediction in single-cell genomics
Abstract: Advances in single-cell omics allow for unprecedented insights into the transcriptional profiles of individual cells and, when combined with large-scale perturbation screens, enable measuring the effect of targeted perturbations on the whole transcriptome. These advances provide an opportunity to better understand the causative role of genes in complex biological processes. In this talk, I will discuss the application of causal machine learning to single-cell genomics and the unique challenges it presents. I will also introduce inVAE, one of my latest methods, which incorporates prior knowledge into generative models to eliminate spurious correlations in datasets collected from different labs. I will demonstrate how inVAE learns conditionally invariant representations, effectively capturing both shared and unique biological signals across large donor cohorts—a critical challenge in handling numerous samples.
To subscribe to the mailing list for this event series, please send an e-mail with the phrase “subscribe math-lifesci-seminar” in the message body to listserv@listserv.manchester.ac.uk
Speaker
Hana Aliee
Organisation: Sanger Institute
Travel and Contact Information
