Rafet Başar

This paper introduces ABMACT, an agent-based model to simulate tumor-immune dynamics in adoptive cell therapy and identifies key factors for optimal efficacy.

The paper constructs immune-specific gene sets using non-negative matrix factorization on bulk RNA-seq data to improve immune subtype analysis and ICB response prediction.

This paper introduces CytoSpill, a statistical method to correct spillover effects in CyTOF data without single-stained controls, improving clustering accuracy and enabling novel subpopulation discovery.