L\'evy Noise Induced Switch in the Gene Transcriptional Regulatory System
Yong Xu, Jing Feng, JuanJuan Li, Huiqing Zhang

TL;DR
This paper investigates how Le9vy noise, a type of non-Gaussian noise with jump characteristics, influences gene transcriptional regulation, revealing its role in inducing state switches and affecting switching times.
Contribution
It extends the analysis of gene regulatory noise to include Le9vy noise, highlighting its impact on gene expression states and transition times, which was not previously studied.
Findings
Le9vy noise parameters can induce gene expression state switches.
Switching times are significantly affected by Le9vy noise characteristics.
Non-Gaussian Le9vy noise exhibits unique effects compared to Gaussian noise.
Abstract
Gene transcriptional regulatory is an inherently noisy process. In this paper, the study of fluctuations in a gene transcriptional regulatory system is extended to the case of L\'evy noise, a kind of non-Gaussian noises which can describe unpredictable jump changes of the random environment. The stationary probability density is given to explore the key roles of L\'evy noise in the gene regulatory networks. The results demonstrate that the parameters of L\'evy noise, including noise intensity, stability index and skewness parameter can induce switches between distinct gene-expression states. A further concern is the switching time (from the high concentration state to the low concentration one or from the low concentration state to the high concentration one), which is a random variable and often referred to as the mean first passage time. The effects of L\'evy noise in expression time…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
