Denis Odinokov

This study benchmarks tumor-naive ctDNA detection and quantification methods using WGS and methylation data from cancer patients, identifying performance trade-offs and optimal integration strategies.

This study introduces NDRDiff, a computational framework for analyzing cfDNA fragmentation profiles to infer gene expression and identify differentially expressed genes in cancer.

Fragle quantifies ctDNA from fragment length profiles using deep learning, showing high accuracy and improved detection limits across multiple datasets and sequencing types.