Changes in students’ mental models from computational modeling of gene regulatory networks

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2196-7822

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Changes in students’ mental models from computational modeling of gene regulatory networks ; volume:6 ; number:1 ; day:19 ; month:11 ; year:2019 ; pages:1-12 ; date:12.2019
International journal of STEM education ; 6, Heft 1 (19.11.2019), 1-12, 12.2019

Creator: Dauer, Joseph T.
Bergan-Roller, Heather E.
King, Gretchen P.
Kjose, McKenzie
Galt, Nicholas J.
Helikar, Tomáš

Contributor: SpringerLink (Online service)

DOI: 10.1186/s40594-019-0193-0

URN: urn:nbn:de:101:1-2020031600450914384555

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

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Dauer, Joseph T.
Bergan-Roller, Heather E.
King, Gretchen P.
Kjose, McKenzie
Galt, Nicholas J.
Helikar, Tomáš
SpringerLink (Online service)

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Changes in students’ mental models from computational modeling of gene regulatory networks

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Other Objects (12)

Computational analysis of gene regulatory networks

Computational genetic regulatory networks: evolvable, self-organizing systems

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Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology

A computational framework for qualitative simulation of nonlinear dynamical models of gene-regulatory networks

NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity

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Synchrony in gene regulatory networks

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Fostering regulatory processes using computational scaffolding

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Computational Methods for Analysis and Simulations of High Throughput Scale Regulatory Networks in Neurobiology

A computational framework for qualitative simulation of nonlinear dynamical models of gene-regulatory networks

NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity

A unified computational model of the genetic regulatory networks underlying synaptic, intrinsic and homeostatic plasticity

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NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity

A unified computational model of the genetic regulatory networks underlying synaptic, intrinsic and homeostatic plasticity

Synchrony in gene regulatory networks

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