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Alexander M. Samsonov

dblp:40/7422 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

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 › gene expression analysis
gene expression modeling
0.212015
A model for the expression of gap genes based on the Jeffreys-type equation · Bioinform. 2015
Bioinformatics and computational biology
developmental biology
0.112015
A model for the expression of gap genes based on the Jeffreys-type equation · Bioinform. 2015

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

jeffreys-type equation · 0.2finite difference solver · 0.2
YearPublicationVenuePosition
2015 A model for the expression of gap genes based on the Jeffreys-type equation
abstract
MOTIVATION: We propose the third-order model equation of the Jeffreys type for concentrations of gap gene proteins in order to take into account particle inertia. Gap genes are responsible for formation of body segments in Drosophila melanogaster embryo during its early development. Usually the expression of the genes is described by the model of protein transport based on conventional diffusion equation. However, the model is known to govern the Brownian (non-inertial) motion of particles; hence, it is hardly applicable to the description of protein transport. RESULTS: Analysis of the Jeffreys-type equation results in the necessary condition for the problem to be well-posed. Application of the Jeffreys-type equation with non-linear terms to description of the dynamics of gap gene network demonstrates better fitting to experimental data than the conventional model. AVAILABILITY AND IMPLEMENTATION: Implementation of solver algorithms and the software are freely available from: https://github.com/wswgG/solver-for-the-Jeffreys-type-equations-system .
Igor A. Gula, Alexander M. Samsonov
Bioinform.2
2011 DEEP - differential evolution entirely parallel method for gene regulatory networks
Konstantin Kozlov, Alexander M. Samsonov
J. Supercomput.2