BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250506T034843EDT-2627R71bjR@132.216.98.100
DTSTAMP:20250506T074843Z
DESCRIPTION:Topological analysis of high-dimensional human genetic data in 
 biobanks\n\nAlex Diaz-Papkovich\, Brown University \n	Tuesday February 6\, 
 12-1pm\n	Zoom Link: https://mcgill.zoom.us/j/86855481591\n	In Person: 550 Sh
 erbrooke\, Room 189\n	\n	Abstract: Now storing the genetic data of millions 
 of individuals\, biobanks have become rich repositories regularly used for
  scientific study and discovery. With the human genome spanning some three
  billion base pairs\, any statistical analysis of a biobank is inherently 
 a high-dimensional problem. To say nothing of the complexity of human gene
 tics\, we encounter challenges in both the scale of the data and in their 
 composition.\n\nWe develop a tractable approach to study biobanks using un
 iform manifold approximation and projection (UMAP)\, a form of non-linear 
 dimensionality reduction based in topological data analysis\, and HDBSCAN\
 , a density-based clustering algorithm. Using these tools\, we visualize t
 he data contained in biobanks and illustrate the relationships between pop
 ulation structure—the phenomenon of non-random genetic variation—and varia
 bles like geography\, demographic history\, migration\, social structure\,
  and environmental measures. We identify population structure at a variety
  of scales\, ranging from a handful to hundreds of thousands of individual
 s\, uncover subtle relationships between our data\, and discuss applicatio
 ns to exploratory data analysis\, data QC\, and polygenic scoring.\n
DTSTART:20240206T170000Z
DTEND:20240206T180000Z
SUMMARY:QLS Seminar Series - Alex Diaz-Papkovich
URL:/qls/channels/event/qls-seminar-series-alex-diaz-p
 apkovich-354584
END:VEVENT
END:VCALENDAR