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Augustinas Sukys

dblp:310/6590 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0009-0000-9928-328XORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
moment closure approximation		 0.512021
MomentClosure.jl: automated moment closure approximations in Julia · Bioinform. 2021
Bioinformatics and computational biology
chemical reaction network		 0.112021
MomentClosure.jl: automated moment closure approximations in Julia · Bioinform. 2021

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

monte carlo simulation · 0.5moment closure · 0.5
YearPublicationVenuePosition
2021 MomentClosure.jl: automated moment closure approximations in Julia
abstract
Abstract Summary MomentClosure.jl is a Julia package providing automated derivation of the time-evolution equations of the moments of molecule numbers for virtually any chemical reaction network using a wide range of moment closure approximations. It extends the capabilities of modelling stochastic biochemical systems in Julia and can be particularly useful when exact analytic solutions of the chemical master equation are unavailable and when Monte Carlo simulations are computationally expensive. Availability and implementation MomentClosure.jl is freely accessible under the MIT licence. Source code and documentation are available at https://github.com/augustinas1/MomentClosure.jl.
Augustinas Sukys, Ramon Grima
 Bioinform.1