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2022 Annual Meeting microtalk – “Flexible Probabilistic Gating of Continuous Flow Cytometry Data” – Tim Coleman (USC – Bien)
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Interpreting microbial growth rates from size distributions.
A multi-lab collaboration that grew out of the January 2020 Bayesian Workshop finds using the Bayesian approach can yield more realistic biological models and better constrained cellular growth rates. Continue reading “Interpreting microbial growth rates from size distributions.”
NEW CBIOMES PUBLICATION
Jann Paul Mattern, Kristof Glauninger, Gregory L. Britten, John R. Casey, Sangwon Hyun, Zhen Wu, E. Virginia Armbrust, Zaid Harchaoui, Francois Ribalet (2022), A Bayesian approach to modeling phytoplankton population dynamics from size distribution time series, PLoS Computational Biology, doi: 10.1371/journal.pcbi.1009733
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Ocean Mover’s Distance: Using Optimal Transport for Analyzing Oceanographic Data – Sangwon Hyun (USC – Bien)
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Flexible Probabilistic Gating of Continuous Flow Cytometry Data – Timothy Coleman (USC – Bien)
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Fast, Focussed, and Future Forward
The 2021 CBIOMES Annual Meeting provided a short, streamlined opportunity for members to refamiliarize themselves with progress over the past twelve months, learn in more depth about current activity, and hear and weigh ideas for new directions. Continue reading “Fast, Focussed, and Future Forward”
The Bien Group goes to Annual Meeting 2021
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2021 Annual Meeting microtalk: Use Earth Movers Distances to Compare Biogeochemical Models and Satellite Derived Chlorophyll – Bror Jönsson (PML)
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2021 Annual Meeting microtalk: The CBIOMES Climatology – Bror Jönsson (PML)
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