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TZID:Asia/Seoul
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TZOFFSETFROM:+0900
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DTSTART:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20260115T100000
DTEND;TZID=Asia/Seoul:20260115T113000
DTSTAMP:20260422T162241
CREATED:20260109T124602Z
LAST-MODIFIED:20260109T124602Z
UID:12099-1768471200-1768476600@www.ibs.re.kr
SUMMARY:Quantifying interventional causality by knockoff operation - Olive Cawiding
DESCRIPTION:In this talk\, we discuss the paper\, “Quantifying interventional causality by knockoff operation” by Xinyan Zhang and Luonan Chen\, Science Advances\, 2025. \nAbstract  \nCausal inference between measured variables is crucial to understand the underlying mechanism of complex biological processes at a network level but remains challenging in computational biology. We propose an innovative causal criterion\, knockoff conditional mutual information (KOCMI)\, to accurately infer interventional direct causality without prior knowledge of the network structure using either time-independent or time-series data. KOCMI performs knockoff operation on a variable as its virtual intervention\, which preserves the original network structure\, and then identifies the causality between two variables by estimating the distributional invariance before and after such a virtual intervention. We show that\, algorithmically\, KOCMI enables quantification of causal relationship\, even for networks with loops\, and\, theoretically\, is also consistent with the do-calculus causal analyses but without their prerequisite of the network structure. KOCMI shows superior performance on benchmark and real datasets\, comparing with existing methods. Overall\, KOCMI provides a powerful tool in inferring interventional causality\, which is theoretically ensured and experimentally validated by real intervention data.
URL:https://www.ibs.re.kr/bimag/event/quantifying-interventional-causality-by-knockoff-operation-olive-cawiding/
LOCATION:B232 Seminar Room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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