Alexey A. Zaikin

This paper explores how activator-inhibitor cellular automata can function as reservoirs for computation by tuning nonlinear dynamics to enable memory and separability.

The paper assesses the reliability of Infinium probes on Illumina Methylation arrays, identifies unreliable probes, and provides a method to exclude them using dynamic thresholds.

This paper designs bacterial computers using spatial diffusion and engineered Escherichia coli to perform digital logic operations and complex computations.

This paper develops an echo state network methodology to classify time-series data from patients under active surveillance and screening, addressing heterogeneity in visit intervals.

The paper develops a parenclitic network approach to analyze DNA methylation changes in Down Syndrome and related cohorts, identifying network-level differences across age and health status.

The paper analyzes age-dependent DNA methylation variability, identifying deterministic and stochastic CpG probes and nonlinear relationships between methylation levels and age.

The paper analyzes mitochondrial genome variation across human populations to identify co-mutation patterns and epistatic interactions, finding subpopulation-specific biases in mutation clustering.