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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:聽https://mcgill.zoom.us/j/89914150820\n In Person: 550 Sherbrooke
\, Room 189\n \n Abstract:聽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鈥攃omplications
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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