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UID:20250816T195553EDT-1582tWViiU@132.216.98.100
DTSTAMP:20250816T235553Z
DESCRIPTION:Modern -omics datasets are very highly dimensional\, covering s
 amples (cells\, people\, bacteria\, etc) across thousands to millions of v
 ariables (SNPs\, genes\, proteins\, etc). Participants will learn about me
 thods like PCA\, MDS\, t-SNE\, and UMAP\, and their applications in invest
 igating data that lives in high dimensions.\n\nWe will cover the motivatio
 ns and ideas behind the methods and go over examples using both artificial
  and real-world data. By the end of the session\, you will be able to code
  implementations of dimension reduction as well as visualize your data in 
 useful ways and consider approaches for downstream analysis.\n\nWorkshop p
 re-assesment\n\nThe methods covered have implementations in Python and R\,
  and the course will be taught using Python notebooks (with some equivalen
 t code in R provided).\n\nThere will be some linear algebra\, analysis\, a
 nd statistics -- knowledge of these topics will be useful for but not crit
 ical to participation.\n\n \n\nCoffee break will be provided.\n\nThis work
 shop is open to everyone\, but space is limited.\n\nInstructor: Alex Diaz-
 Papkovich\n	Fee: $50 (seating is limited)\n	*Reimbursement is available to M
 cGill students after attending the workshop.\n\nTo Register: via Eventbrit
 e\n\nFor more information on workshops email us at: workshop-micm [at] mcg
 ill.ca (subject: Workshop) \n
DTSTART:20200403T120000Z
DTEND:20200403T160000Z
SUMMARY:Cancelled - Dimension reduction methods
URL:/micm/channels/event/cancelled-dimension-reduction
 -methods-320448
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