Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation-Reference-Cited by-同舟云学术

Computer Simulation of Nonlinear Mixed-Effect Models with Ordinary Differential Equations for Genetic Regulation

Published:2023-06-16 Issue: Volume: Page:
ISSN:
Container-title:2023 The 15th International Conference on Computer Modeling and Simulation
language:
Short-container-title:

Author:

Chen Aimin¹^ORCID,Zhou Tianshou²^ORCID,Tian Tianhai³^ORCID

Affiliation:

1. School of Mathematics and Statistics, Henan University, China

2. School of Mathematics and Statistics, Sun Yat-sen University, China

3. School of Mathematics, Monash University, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3608251.3608277

Reference40 articles.

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3. Jun Ding Nadav Sharon and Ziv Bar-Joseph. 2022. Temporal modelling using single-cell transcriptomics. Nature Reviews Genetics 23(6): 355-368. https://doi.org/10.1038/s41576-021-00444-7

4. Andrew E Teschendorff , and Andrew P . Feinberg . 2021 . Statistical mechanics meets single-cell biology. Nature Reviews Genetics 22(7): 459-476. https://doi.org/10.1038/s41576-021-00341-z 10.1038/s41576-021-00341-z Andrew E Teschendorff, and Andrew P. Feinberg. 2021. Statistical mechanics meets single-cell biology. Nature Reviews Genetics 22(7): 459-476. https://doi.org/10.1038/s41576-021-00341-z

5. David Lähnemann Johannes Köster Ewa Szczurek Davis J. McCarthy Stephanie C. Hicks Mark D. Robinson Catalina A. Vallejos 2020. Eleven grand challenges in single-cell data science. Genome biology 21(1): 1-35. https://doi.org/10.1186/s13059-020-1926-6. 10.1186/s13059-020-1926-6

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