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DESCRIPTION:Low-dimensional representations of high-dimensional biobank dat
 a\n\nAlex Diaz-Papkovich\, Brown University\n	Tuesday January 14\, 12-1pm\n
 	Zoom Link: https://mcgill.zoom.us/j/89914150820\n	In Person: 550 Sherbrooke
 \, Room 189\n	\n	Abstract: With cheap and efficient DNA sequencing readily a
 vailable\, scientists have access to the genetic data of millions of indiv
 iduals through biobanks. Statistical analyses of these data can give impor
 tant insights into medical genetics\, demographic history\, and population
  health. However\, biobanks are as complex as they are rich—complications 
 from sampling methodology\, confounding with environmental factors\, and i
 diosyncratic population histories ensure that analysis is no easy task. Me
 thods like dimensionality reduction\, clustering\, and visualization can b
 ring to light patterns in data that would otherwise go unnoticed. In this 
 seminar\, I will give an outline of how manifold learning and density clus
 tering can uncover signal in multiple biobanks\, highlighting patterns bet
 ween genetics\, geography\, the environment\, and health measures. I will 
 also discuss the role low-dimensional representations can play in illustra
 ting biobank composition and human genetic diversity\, as well as their et
 hical and social implications.\n
DTSTART:20250114T170000Z
DTEND:20250114T180000Z
SUMMARY:QLS Seminar Series - Alex Diaz-Papkovich
URL:/qls/channels/event/qls-seminar-series-alex-diaz-p
 apkovich-362372
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