Bo Gao

This study develops a bioinformatics pipeline to generate CNA signatures for 31 cancer subtypes and constructs a classifier to identify cancer type and origin from copy number data.

This paper introduces Mecan4CNA, a method for normalizing copy number variation data, showing improved accuracy and performance in detecting focal regions in cancer genomes.

segment_liftover converts genome segments between assemblies while preserving continuity, enabling accurate analysis of structural variations.