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UID:20250721T181136EDT-2716TUTJWH@132.216.98.100
DTSTAMP:20250721T221136Z
DESCRIPTION:Learning single cell atlases\n\nFabian J. Theis\, Helmholtz Mun
 ich\n	Tuesday October 26\, 12-1pm\n	Zoom Link: https://mcgill.zoom.us/j/8685
 5481591\n\nAbstract: Advances in single cell genomics nowadays allow the l
 arge-scale construction of organ atlases. These can be used to study pertu
 rbations such as signaling\, drugs or diseases\, with large-scale access t
 o state changes on the transcriptomic and more recently also epigenomic le
 vel. This provides an ideal application area for machine learning methods 
 to understand cellular response. Here I will first show how we leverage re
 presentation learning to identify a gene expression manifold\, and thus bu
 ild a lung cell atlas across datasets from many labs. I will demonstrate h
 ow to query this atlas for new biology using transfer learning\, and then 
 discuss how to include other modalities\, spatial context as well as pertu
 rbations into such models.\n
DTSTART:20221026T160000Z
DTEND:20221026T170000Z
SUMMARY:QLS Seminar Series - Fabian Theis
URL:/qls/channels/event/qls-seminar-series-fabian-thei
 s-342769
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