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Authors :
Wang X; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada.
Subjects: Artificial Intelligence* ; Models, Theoretical*; COVID-19/COVID-19/COVID-19/transmission
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Source:
PLoS computational biology [PLoS Comput Biol] 2026 Mar 16; Vol. 22 (3), pp. e1013312. Date of Electronic Publication: 2026 Mar 16 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Zhang K; Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada.; Zhu J
Subjects: Models, Theoretical*; Stochastic Processes
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Source:
PLoS computational biology [PLoS Comput Biol] 2024 Apr 15; Vol. 20 (4), pp. e1012015. Date of Electronic Publication: 2024 Apr 15 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Subjects: Mollusca* ; Models, Theoretical*; Animals
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Source:
PLoS computational biology [PLoS Comput Biol] 2024 Mar 01; Vol. 20 (3), pp. e1011835. Date of Electronic Publication: 2024 Mar 01 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Williamson D; Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, United Kingdom.; Tasker-Brown W
Subjects: Plant Cells* ; Models, Theoretical*; Cell Cycle/Cell Cycle/Cell Cycle/physiology
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Source:
PLoS computational biology [PLoS Comput Biol] 2023 Oct 20; Vol. 19 (10), pp. e1011503. Date of Electronic Publication: 2023 Oct 20 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Loman TE; Sainsbury Laboratory, University of Cambridge, Cambridge, United Kingdom.; Computer Science and AI Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Subjects: Algorithms* ; Models, Theoretical*; Stochastic Processes
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Source:
PLoS computational biology [PLoS Comput Biol] 2023 Oct 18; Vol. 19 (10), pp. e1011530. Date of Electronic Publication: 2023 Oct 18 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Simpson MJ; School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.; Maclaren OJ
Subjects: Models, Biological* ; Models, Theoretical*; Likelihood Functions
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Source:
PLoS computational biology [PLoS Comput Biol] 2023 Sep 29; Vol. 19 (9), pp. e1011515. Date of Electronic Publication: 2023 Sep 29 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Ecotière C; Centre de Mathématiques Appliquées, CNRS, Ecole Polytechnique, IP Paris, Palaiseau, France.; Billiard S
Subjects: Environment* ; Models, Theoretical*; Humans
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Source:
PLoS computational biology [PLoS Comput Biol] 2023 Sep 18; Vol. 19 (9), pp. e1011429. Date of Electronic Publication: 2023 Sep 18 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Koyama H; Division of Embryology, National Institute for Basic Biology, Myodaiji, Okazaki, Aichi, Japan.; SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa, Japan.
Subjects: Caenorhabditis elegans* ; Models, Theoretical*; Animals
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Source:
PLoS computational biology [PLoS Comput Biol] 2023 Aug 07; Vol. 19 (8), pp. e1011306. Date of Electronic Publication: 2023 Aug 07 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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Authors :
Irvin MW; Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, United States of America.; Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois, United States of America.
Subjects: Models, Theoretical* ; Machine Learning*; Bayes Theorem
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Source:
PLoS computational biology [PLoS Comput Biol] 2023 Apr 26; Vol. 19 (4), pp. e1011004. Date of Electronic Publication: 2023 Apr 26 (Print Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet
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