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Oksana Sorokina

dblp:137/6013 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · unresolved

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

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

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology › biochemical reaction network modeling
biochemical reaction network simulation		 0.212013
A simulator for spatially extended kappa models · Bioinform. 2013
Bioinformatics and computational biology › systems biology
rule-based modeling		 0.212013
A simulator for spatially extended kappa models · Bioinform. 2013
Bioinformatics and computational biology › systems biology
spatial stochastic simulation		 0.212013
A simulator for spatially extended kappa models · Bioinform. 2013

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

spatial extension · 0.2rule-based stochastic modeling · 0.2
YearPublicationVenuePosition
2013 A simulator for spatially extended kappa models
abstract
Abstract Summary: Spatial Kappa is a simulator of models written in a variant of the rule-based stochastic modelling language Kappa, with spatial extensions. Availability: The spatial kappa simulator is an open-source project licensed under the LGPLv3, with Java source, binaries and manual available at http://github.com/lptolik/SpatialKappa. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.
Oksana Sorokina, Anatoly A. Sorokin, J. Douglas Armstrong, Vincent Danos
 Bioinform.1