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Biology Methods & Protocols
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December 1, 2025
Leveraging uncertainty quantification to optimize CRISPR guide RNA selection
Carl Schmitz, Jacob Bradford, Robert Salomone, et al.
F1000Research
|
June 10, 2024
Graph neural network-based anomaly detection for river network systems
Katie Buchhorn, Edgar Santos-Fernandez, Kerrie Mengersen, et al.
Journal of Mathematical Biology
|
February 15, 2024
Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation
Xiaoyu Wang, Adrianne L Jenner, Robert Salomone, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
March 27, 2023
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Joshua J Bon, Adam Bretherton, Katie Buchhorn, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Biology Methods & Protocols
|
December 1, 2025
Leveraging uncertainty quantification to optimize CRISPR guide RNA selection
Carl Schmitz, Jacob Bradford, Robert Salomone, et al.
F1000Research
|
June 10, 2024
Graph neural network-based anomaly detection for river network systems
Katie Buchhorn, Edgar Santos-Fernandez, Kerrie Mengersen, et al.
Journal of Mathematical Biology
|
February 15, 2024
Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation
Xiaoyu Wang, Adrianne L Jenner, Robert Salomone, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
March 27, 2023
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Joshua J Bon, Adam Bretherton, Katie Buchhorn, et al.
Page
of 1