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Dongyang Gu

dblp:328/8449 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 50% Computational science and engineering · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering › numerical simulation
stochastic simulation algorithm
0.612022
DelaySSAToolkit.jl: stochastic simulation of reaction systems with time delays in Julia · Bioinform. 2022

Methods — techniques the papers use, named apart from their topics

stochastic simulation algorithm · 0.6non-markovian modeling · 0.6
YearPublicationVenuePosition
2022 DelaySSAToolkit.jl: stochastic simulation of reaction systems with time delays in Julia
abstract
SUMMARY: DelaySSAToolkit.jl is a Julia package for modelling reaction systems with non-Markovian dynamics, specifically those with time delays. These delays implicitly capture multiple intermediate reaction steps and hence serve as an effective model reduction technique for complex systems in biology, chemistry, ecology and genetics. The package implements a variety of exact formulations of the delay stochastic simulation algorithm. AVAILABILITY AND IMPLEMENTATION: The source code and documentation of DelaySSAToolkit.jl are available at https://github.com/palmtree2013/DelaySSAToolkit.jl.
Xiaoming Fu 0003, Xinyi Zhou 0012, Dongyang Gu, Zhixing Cao, Ramon Grima
Bioinform.3