Xuecong Fu

The paper develops methods to improve marker selection for ctDNA analysis by refining phylogenetic models and quantifying clonal frequencies through optimization.

Sc-TUSV-ext improves clonal lineage reconstruction by integrating SNV, CNA, and SV from single-cell DNA sequencing data, showing better accuracy on synthetic and real data.

The paper improves GAN-based deep learning models for cell organization and introduces evaluation criteria to assess synthetic cell images' accuracy.

ConTreeDP computes clonal consensus trees from cancer genomic data by solving the Maximum Directed Partition Support Consensus Tree problem, showing efficiency and accuracy.

The paper develops computational methods combining sequencing and miFISH data to improve accurate inference of clonal copy number evolution in tumors.