Dmitriy Zamarin

This study introduces iMSEA, a computational framework that identifies metabolic state shifts in BRCA1-deficient cancers using omics data and validates findings with experimental assays.

This study tracks clonal evolution of drug resistance in ovarian cancer using structural variants in cfDNA, finding polyclonal resistance with dominant high-fitness clones and genomic features linked to drug resistance.

This study shows that ongoing whole-genome doubling in ovarian cancer promotes cell diversity and immune dysregulation through chromosomal instability and quiescent states.

This paper introduces TCRi, an information theoretic framework to analyze TCR and gene expression data from cancer patients, showing improved characterization of clonotypes and their phenotypic changes post-therapy.