Oleksandr Narykov

A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types.

The paper introduces a spatial long-read sequencing method to study developmental splicing and polyadenylation changes in cortical layers and cell types, finding layer-specific and age-related regulatory patterns.

Data Imbalance in Drug Response Prediction - Multi-Objective Optimization Approach in Deep Learning Setting

This paper addresses data imbalance in drug response prediction by introducing a multi-objective optimization approach using a custom loss function to improve model performance.

Single-cell long-read mRNA isoform regulation is pervasive across mammalian brain regions, cell types, and development

The paper analyzes single-cell long-read mRNA isoform regulation across mouse brain regions, cell types, and development, finding pervasive isoform variability and cell-type specific splicing patterns.

Structural genomics and interactomics of 2019 Wuhan novel coronavirus, 2019-nCoV, indicate evolutionary conserved functional regions of viral proteins

The paper uses computational methods to analyze structural genomics and interactomics of 2019-nCoV, comparing it to SARS coronavirus to identify conserved functional regions.

DISPOT: A simple knowledge-based protein domain interaction statistical potential

DISPOT estimates domain interaction propensities using SCOP family annotations from structurally resolved PPIs.

Determining rewiring effects of alternatively spliced isoforms on protein-protein interactions using a computational approach

The paper develops a computational tool to predict the effects of alternative splicing on protein-protein interactions and demonstrates its utility in disease-related transcriptomic data.