82 citations · 165 across the 8 of their papers we have counts for
8 papers
Formation of working memory in a spiking neuron network accompanied by astrocytes
Susanna Yu. Gordleeva, Yulia A. Tsybina, Mikhail I. Krivonosov +4
We propose a biologically plausible computational model of working memory (WM) implemented by the spiking neuron network (SNN) interacting with a network of astrocytes. SNN is mode…
Symmetry in cancer networks identified: Proposal for multi-cancer biomarkers
Pramod Shinde, Loic Marrec, Aparna Rai +5
One of the most challenging problems in biomedicine and genomics is the identification of disease biomarkers. In this study, proteomics data from seven major cancers were used to c…
Genetic noise mechanism for power-law switching in bacterial flagellar motors
M. I. Krivonosov, V. Zaburdaev, S. V. Denisov +1
Switching of the direction of flagella rotations is the key control mechanism governing the chemotactic activity of E. coli and many other bacteria. Power-law distributions of swit…
Interplay of inhibition and multiplexing : Largest eigenvalue statistics
Saptarshi Ghosh, Sanjiv K. Dwivedi, Mikhail V. Ivanchenko +1
The largest eigenvalue of a network provides understanding to various dynamical as well as stability properties of the underlying system. We investigate an interplay of inhibition…
Parenclitic network analysis of methylation data for cancer identification
Alexander Karsakov, Thomas Bartlett, Iosif Meyerov +2
We make use of ideas from the theory of complex networks to implement a machine learning classification of human DNA methylation data, that carry signatures of cancer development.…
Multi-input distributed classifiers for synthetic genetic circuits
Oleg Kanakov, Roman Kotelnikov, Ahmed Alsaedi +4
For practical construction of complex synthetic genetic networks able to perform elaborate functions it is important to have a pool of relatively simple "bio-bricks" with different…
Distributed classifier based on genetically engineered bacterial cell cultures
Andriy Didovyk, Oleg I. Kanakov, Mikhail V. Ivanchenko +3
We describe a conceptual design of a distributed classifier formed by a population of genetically engineered microbial cells. The central idea is to create a complex classifier fro…
Assessing T cell clonal size distribution: a non-parametric approach
O. V. Bolkhovskaya, D. Yu. Zorin, M. V. Ivanchenko
Clonal structure of the human peripheral T-cell repertoire is shaped by a number of homeostatic mechanisms, including antigen presentation, cytokine and cell regulation. Its accura…