Marina Yurieva

This study shows that ultraconserved poison exons regulate mitotic splicing fidelity and stem cell viability by controlling SR protein levels and splicing networks.

This paper develops a framework using large language models for gene prioritization, validated against literature, identifying 30 high-confidence therapeutic candidates for sepsis.

SpliceDecoder prioritizes biologically meaningful splicing events by predicting their impact on transcript productivity, protein sequence, and functional domains.

This paper introduces a method using Large Language Models to perform deep functional profiling of gene sets, demonstrating its ability to uncover detailed immune functions and improve upon traditional annotation tools.

This paper develops an API-driven workflow using GPT-4 to automate candidate gene prioritization, demonstrating high consistency and scalability in identifying sepsis-related genes.