Inferred models inferred from repressilator datasets.

<p>For each model, the linear decay terms are known and the remaining terms are inferred. Underline denotes terms that are incorrect relative to the true model (Eqs 6). <b>A–C.</b> Inferred models with lowest AICc for datasets with additive noise, at 0 . 1, 1 and 10<i>%</i...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xiaojun Wu (466801) (author)
مؤلفون آخرون:	MeiLu McDermott (11549013) (author), Adam L MacLean (20592216) (author)
منشور في:	2025
الموضوعات:	Genetics Cancer Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified often adeptly represent incorporate prior knowledge infer models correctly underlying biological mechanisms fitted neural network differential equation models via model selection driven model discovery model selection model discovery learn models neural networks driven framework differential equations biological noise unknown dynamics sindy struggles sindy ). simultaneously learning realistic levels practical framework particular utility nonlinear dynamics latent dynamics high levels different types cell transcriptomics approach provides
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Inferred models inferred from repressilator datasets.

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