Rituparna Khan

SCGclust integrates SNVs and CNAs using a graph autoencoder for cell clustering, achieving higher accuracy than existing methods on simulated and real cancer data.

scLongTree infers subclonal trees from longitudinal scDNA-seq data, outperforming existing tools in accuracy and scalability.

This paper benchmarks six cell clustering tools for single-cell DNA sequencing data, finding BnpC and SCG have highest accuracy, SBMClone excels in ultra-low coverage data.