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X-WR-CALNAME:Biomedical Mathematics Group
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
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20230317T140000
DTEND;TZID=Asia/Seoul:20230317T160000
DTSTAMP:20260426T011322
CREATED:20230228T075515Z
LAST-MODIFIED:20230315T020610Z
UID:7393-1679061600-1679068800@www.ibs.re.kr
SUMMARY:Olive Cawiding\, Single-sample landscape entropy reveals the imminent phase transition during disease progression
DESCRIPTION:We will discuss about “Single-sample landscape entropy reveals the imminent phase transition during disease progression”\, Liu R\, Chen P\, Chen L.\, Bioinformatics. 2020 Mar 1;36(5):1522-1532. \nAbstract \n\n\nMotivation: The time evolution or dynamic change of many biological systems during disease progression is not always smooth but occasionally abrupt\, that is\, there is a tipping point during such a process at which the system state shifts from the normal state to a disease state. It is challenging to predict such disease state with the measured omics data\, in particular when only a single sample is available. \nResults: In this study\, we developed a novel approach\, i.e. single-sample landscape entropy (SLE) method\, to identify the tipping point during disease progression with only one sample data. Specifically\, by evaluating the disorder of a network projected from a single-sample data\, SLE effectively characterizes the criticality of this single sample network in terms of network entropy\, thereby capturing not only the signals of the impending transition but also its leading network\, i.e. dynamic network biomarkers. Using this method\, we can characterize sample-specific state during disease progression and thus achieve the disease prediction of each individual by only one sample. Our method was validated by successfully identifying the tipping points just before the serious disease symptoms from four real datasets of individuals or subjects\, including influenza virus infection\, lung cancer metastasis\, prostate cancer and acute lung injury.
URL:https://www.ibs.re.kr/bimag/event/2023-03-17-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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