Response to stress via underlying deep gene regulation networks
From MaRDI portal
Publication:6551536
DOI10.1002/MMA.9820zbMATH Open1547.92011MaRDI QIDQ6551536
S. A. Vakulenko, Elena Sashina, Dima Grigoriev, Andrey Suchkov
Publication date: 7 June 2024
Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)
Classical flows, reactions, etc. in chemistry (92E20) Biochemistry, molecular biology (92C40) Systems biology, networks (92C42)
Cites Work
- Title not available (Why is that?)
- Detection of Hopf bifurcations in chemical reaction networks using convex coordinates
- Geometric theory of semilinear parabolic equations
- A survey of gene regulatory networks modelling methods: from differential equations, to Boolean and qualitative bioinspired models
- Exponential convergence of the deep neural network approximation for analytic functions
- Sensitivity of chemical reaction networks: a structural approach. 1. Examples and the carbon metabolic network
- Analysis of Boolean Functions
- Tropical Geometries and Dynamics of Biochemical Networks Application to Hybrid Cell Cycle Models
- Tree approximation and optimal encoding
This page was built for publication: Response to stress via underlying deep gene regulation networks
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6551536)