Stochastic simulations of the origins and implications of long-tailed distributions in gene expression

DOI10.1073/pnas.0406415102zbMath1355.92032OpenAlexW2010574946WikidataQ33935104 ScholiaQ33935104MaRDI QIDQ2962138

Bidisha Banerjee, T. V. Ramakrishnan, G. V. Shivashankar, Sandeep Krishna

Publication date: 16 February 2017

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.0406415102

zbMATH Keywords

Gaussian distributionsgene expressionfeedback loop

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items (4)

Approximate and approximate null-controllability of a class of piecewise linear Markov switch systems ⋮ Modeling segmental patterning in \textit{Drosophila}: maternal and gap genes ⋮ Nonequivalence of Controllability Properties for Piecewise Linear Markov Switch Processes ⋮ Convergence of stochastic gene networks to hybrid piecewise deterministic processes

This page was built for publication: Stochastic simulations of the origins and implications of long-tailed distributions in gene expression