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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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DTSTART:20200101T000000
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DTSTART;TZID=Asia/Seoul:20210204T130000
DTEND;TZID=Asia/Seoul:20210204T150000
DTSTAMP:20260510T145717
CREATED:20210223T091012Z
LAST-MODIFIED:20210228T073227Z
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SUMMARY:Hyukpyo Hong\, Frequency Spectra and the Color of Cellular Noise
DESCRIPTION:We will discuss about “Frequency Spectra and the Color of Cellular Noise”\,  bioRxiv (2020). \nThe invention of the Fourier integral in the 19th century laid the foundation for modern spectral analysis methods. By decomposing a (time) signal into its essential frequency components\, these methods uncovered deep insights into the signal and its generating process\, precipitating tremendous inventions and discoveries in many fields of engineering\, technology\, and physical science. In systems and synthetic biology\, however\, the impact of frequency methods has been far more limited despite their huge promise. This is in large part due to the difficulty of gleaning spectral information from single-cell trajectories\, owing to their distinctive noisy character forged by the underlying discrete stochastic dynamics of the living cell\, typically modelled as a continuous-time Markov chain (CTMC). Here we draw on stochastic process theory to develop a spectral theory and computational methodologies tailored specifically to the computation and analysis of frequency spectra of noisy cellular networks. For linear networks we present exact expressions for the frequency spectrum and use them to decompose the variability of a signal into its sources. For nonlinear networks\, we develop methods to obtain accurate Padé approximants of the spectrum from a single Monte Carlo trajectory simulation. Our results provide new conceptual and practical methods for the analysis and design of noisy cellular networks based on their output frequency spectra. We illustrate this through diverse case studies in which we show that the single-cell frequency spectrum enables topology discrimination\, synthetic oscillator optimization\, cybergenetic controller design\, and systematic investigation of stochastic entrainment. \n 
URL:https://www.ibs.re.kr/bimag/event/2021-02-04/
LOCATION:KAIST E2-1 room 3221\, E2-1 building\, Daejeon\, Daejeon\, 34141\, Korea\, Republic of
CATEGORIES:Journal Club,Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20210205T100000
DTEND;TZID=Asia/Seoul:20210205T110000
DTSTAMP:20260510T145717
CREATED:20210228T071217Z
LAST-MODIFIED:20210406T075239Z
UID:4140-1612519200-1612522800@www.ibs.re.kr
SUMMARY:Jaewoo Park\, Introduction to RcppArmadillo for Statistical Programming
DESCRIPTION:The speaker presents how to use Rcpp (Seamless R and C++ Integration) and RcppArmadillo packages (‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library) for statistical programming. \n 
URL:https://www.ibs.re.kr/bimag/event/2021-02-05/
LOCATION:ZOOM ID: 709 120 4849 (ibsbimag)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Seminar,Seminar
ATTACH;FMTTYPE=image/png:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2021/02/JaewooPark_20210205_Rcpp.png
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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