Data-driven discovery of dynamical models in biology | Paper Citation Record

Observation 028cf4f9-9e65-4595-aab9-2bfd0a40e935 · outbound

This paper cites Biological data often violate these assumptions.

Data-driven discovery of dynamical models in biology Biological data often violate these assumptions

Reference 1

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Observation 21680d49-d0f9-4025-8b13-360564527fe7 · outbound

This paper cites With- out such priors, spurious or uninterpretable models often result.

Data-driven discovery of dynamical models in biology With- out such priors, spurious or uninterpretable models often result

Reference 2

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Observation 91e49d76-d42b-4d55-a532-81cc8f080ea4 · outbound

This paper cites black boxes,.

Data-driven discovery of dynamical models in biology black boxes,

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites To highlight these challenges in more detail, we tested the ability of a FFNN to capture the oscillatory dynamics of the Oregonator model in Info Box V.

Data-driven discovery of dynamical models in biology To highlight these challenges in more detail, we tested the ability of a FFNN to capture the oscillatory dynamics of the Oregonator model in Info Box V

Reference 7

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Observation b31eced8-6780-44cc-a6c6-3c58d3d3165e · outbound

This paper cites As DMD and eDMD fit global linear operators, the data must capture diverse dynamical regimes to yield meaningful approximations.

Data-driven discovery of dynamical models in biology As DMD and eDMD fit global linear operators, the data must capture diverse dynamical regimes to yield meaningful approximations

Reference 8

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This paper cites The success of eDMD depends on choosing appropriate nonlinear lifting functions g, a challenge shared with regression approaches like SINDy.

Data-driven discovery of dynamical models in biology The success of eDMD depends on choosing appropriate nonlinear lifting functions g, a challenge shared with regression approaches like SINDy

Reference 9

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Data-driven discovery of dynamical models in biology Unresolved cited work

Reference 10

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Goldbeter, C.

Data-driven discovery of dynamical models in biology Goldbeter, C

Reference 12

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Observation 382a5dbd-8faf-4558-9d57-ce1615cbe25c · outbound

This paper cites Gelens, G.

Data-driven discovery of dynamical models in biology Gelens, G

Reference 13

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Data-driven discovery of dynamical models in biology Beta and K

Reference 14

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Volpert and S.

Data-driven discovery of dynamical models in biology Volpert and S

Reference 16

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Novak and J.

Data-driven discovery of dynamical models in biology Novak and J

Reference 19

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Bell-Pedersen, V.

Data-driven discovery of dynamical models in biology Bell-Pedersen, V

Reference 21

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Data-driven discovery of dynamical models in biology Unresolved cited work

Reference 22

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Ghosh and B

Reference 24

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Geva-Zatorsky, N.

Data-driven discovery of dynamical models in biology Geva-Zatorsky, N

Reference 26

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Data-driven discovery of dynamical models in biology Batchelor, C

Reference 27

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Afanzar, G.

Data-driven discovery of dynamical models in biology Afanzar, G

Reference 34

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology De Simone, M

Reference 39

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Rombouts, F

Reference 42

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This paper cites Spiral waves speed up cell cycle oscillations in the frog cytoplasm.

Data-driven discovery of dynamical models in biology Spiral waves speed up cell cycle oscillations in the frog cytoplasm

Reference 43

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This paper cites Parra-Rivas, D.

Data-driven discovery of dynamical models in biology Parra-Rivas, D

Reference 44

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Gyorgyi, T

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Alberts, J

Reference 52

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Yang and J

Reference 56

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology De Boeck, J

Reference 58

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Data-driven discovery of dynamical models in biology Rombouts and L

Reference 59

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Data-driven discovery of dynamical models in biology Mochida, S

Reference 60

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Kamenz, L

Reference 62

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Nov´ ak and J

Reference 64

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Data-driven discovery of dynamical models in biology Unresolved cited work

Reference 65

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This paper cites Kitano, Systems biology: A brief overview, Science 295, 1662 (2002).

Data-driven discovery of dynamical models in biology Kitano, Systems biology: A brief overview, Science 295, 1662 (2002)

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Data-driven discovery of dynamical models in biology Unresolved cited work

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This paper cites Takens, Detecting strange attractors in turbulence, in Dynamical Systems and Turbulence, Warwick 1980 , edited by D.

Data-driven discovery of dynamical models in biology Takens, Detecting strange attractors in turbulence, in Dynamical Systems and Turbulence, Warwick 1980 , edited by D

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Data-driven discovery of dynamical models in biology Unresolved cited work

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Observation 4a7fc518-4336-44b2-b532-ff0402757588 · outbound

This paper cites Casdagli, Nonlinear prediction of chaotic time series, Physica D: Nonlinear Phenomena 35, 335 (1989).

Data-driven discovery of dynamical models in biology Casdagli, Nonlinear prediction of chaotic time series, Physica D: Nonlinear Phenomena 35, 335 (1989)

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Data-driven discovery of dynamical models in biology Fukushima, Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, Biological Cybernetics 36, 193 (1980)

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Data-driven discovery of dynamical models in biology Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences

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Reference 88

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Data-driven discovery of dynamical models in biology Finite Dimensional Koopman Form of Polynomial Nonlinear Systems

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Data-driven discovery of dynamical models in biology Modern Koopman Theory for Dynamical Systems

Reference 91

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Data-driven discovery of dynamical models in biology A survey of Bayesian Network structure learning

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Reference 96

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Reference 99

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