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Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling.

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Title: Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling.
Authors: Kolbe, Niklas1 (AUTHOR) kolbe@igpm.rwth-aachen.de, Hexemer, Lorenz2,3 (AUTHOR), Bammert, Lukas-Malte4 (AUTHOR), Loewer, Alexander5 (AUTHOR), Lukáčová-Medvid'ová, Mária4 (AUTHOR), Legewie, Stefan3,6 (AUTHOR) kolbe@igpm.rwth-aachen.de
Source: PLoS Computational Biology. 6/27/2022, Vol. 18 Issue 6, p1-29. 29p. 1 Diagram, 1 Chart, 6 Graphs.
Database: Academic Search Ultimate
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  Data: Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signaling.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 6/27/2022, Vol. 18 Issue 6, p1-29. 29p. 1 Diagram, 1 Chart, 6 Graphs.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157664088
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        Value: 10.1371/journal.pcbi.1010266
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        Text: English
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              Text: 6/27/2022
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              Y: 2022
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