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X-WR-CALDESC:Events for Biomedical Mathematics Group
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DTSTART:20220101T000000
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DTSTART;TZID=Asia/Seoul:20230602T140000
DTEND;TZID=Asia/Seoul:20230602T160000
DTSTAMP:20260425T195937
CREATED:20230529T032114Z
LAST-MODIFIED:20230529T032114Z
UID:7803-1685714400-1685721600@www.ibs.re.kr
SUMMARY:Eui Min Jung\, Uncovering specific mechanisms across cell types in dynamical models
DESCRIPTION:We will discuss about “Uncovering specific mechanisms across cell types in dynamical models”\, Hauber\, Adrian Lukas\, Marcus Rosenblatt\, and Jens Timmer.\, bioRxiv (2023): 2023-01. \nAbstract \nOrdinary differential equations are frequently employed for mathematical modeling of biological systems. The identification of mechanisms that are specific to certain cell types is crucial for building useful models and to gain insights into the underlying biological processes. Regularization techniques have been proposed and applied to identify mechanisms specific to two cell types\, e.g.\, healthy and cancer cells\, including the LASSO (least absolute shrinkage and selection operator). However\, when analyzing more than two cell types\, these approaches are not consistent\, and require the selection of a reference cell type\, which can affect the results. \nTo make the regularization approach applicable to identifying cell-type specific mechanisms in any number of cell types\, we propose to incorporate the clustered LASSO into the framework of ordinary differential equation modeling by penalizing the pairwise differences of the logarithmized fold-change parameters encoding a specific mechanism in different cell types. The symmetry introduced by this approach renders the results independent of the reference cell type. We discuss the necessary adaptations of state-of-the-art numerical optimization techniques and the process of model selection for this method. We assess the performance with realistic biological models and synthetic data\, and demonstrate that it outperforms existing approaches. Finally\, we also exemplify its application to published biological models including experimental data\, and link the results to independent biological measurements.
URL:https://www.ibs.re.kr/bimag/event/2023-06-02-jc/
LOCATION:B378 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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