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X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
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DTSTART:20240101T000000
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DTSTART;TZID=Asia/Seoul:20251001T160000
DTEND;TZID=Asia/Seoul:20251001T170000
DTSTAMP:20260501T120918
CREATED:20250826T003244Z
LAST-MODIFIED:20250922T073504Z
UID:11458-1759334400-1759338000@www.ibs.re.kr
SUMMARY:Topological Data Analysis for Multiscale Biology - Heather Harrington
DESCRIPTION:Abstract \nMany processes in the life sciences are inherently multi-scale and dynamic. Spatial structures and patterns vary across levels of organisation\, from molecular to multi-cellular to multi-organism. With more sophisticated mechanistic models and data available\, quantitative tools are needed to study their evolution in space and time. Topological data analysis (TDA) provides a multi-scale summary of data. I will review the main tools in topological data analysis and how single and multi-parameter persistent homology provide insights to biological systems.
URL:https://www.ibs.re.kr/bimag/event/tbd-heather-harrington/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2025/08/Heather-Harrington.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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