Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues

Research article (Journal of Theoretical Biology, 2018) · cited 34× · AI/ML
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Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues

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Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues. Retrieved May 24, 2026, from https://4ort.xyz/entity/approximate-bayesian-computation-reveals-the-importance-of-repeated-measurements-for-parameterising-cell-based-models-of
MLA “Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/approximate-bayesian-computation-reveals-the-importance-of-repeated-measurements-for-parameterising-cell-based-models-of.
BibTeX @misc{4ortxyz_approximate-bayesian-computation-reveals-the-importance-of-repeated-measurements-for-parameterising-cell-based-models-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Approximate Bayesian computation reveals the importance of repeated measurements for parameterising cell-based models of growing tissues}}, year = {2026}, url = {https://4ort.xyz/entity/approximate-bayesian-computation-reveals-the-importance-of-repeated-measurements-for-parameterising-cell-based-models-of}, note = {Accessed: 2026-05-24}}
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