A comparative analysis of noise properties of stochastic binary models for a self-repressing and for an externally regulating gene

DOI10.3934/mbe.2020295zbMath1470.92118OpenAlexW4254377710WikidataQ101116897 ScholiaQ101116897MaRDI QIDQ2047823

Alan U. Sabino, Alexandre F. Ramos, Guilherme Giovanini, Luciana R. C. Barros

Publication date: 4 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020295

zbMATH Keywords

stochastic gene regulationbinary gene modelfluctuations on gene expressionnoise in gene regulatory models

Mathematics Subject Classification ID

Applications of stochastic analysis (to PDEs, etc.) (60H30) Biochemistry, molecular biology (92C40)

Related Items (4)

Exploring the role of eRNA in regulating gene expression ⋮ Inference on autoregulation in gene expression with variance-to-mean ratio ⋮ Correction to: ``A comparative analysis of noise properties of stochastic binary models for a self-repressing and for an externally regulating gene ⋮ Heavy-tailed distributions in a stochastic gene autoregulation model

Cites Work

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• Integrating factors for second-order ODEs
• Markovian modelling of gene product synthesis
• Modeling stochastic gene expression under repression
• Using Gene Expression Noise to Understand Gene Regulation
• The effect of negative feedback on noise propagation in transcriptional gene networks

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