Assessing the performance of methods for cell clustering from single-cell DNA sequencing data.

ABSTRACT:

Background

Many cancer genomes have been known to contain more than one subclone inside one tumor, the phenomenon of which is called intra-tumor heterogeneity (ITH). Characterizing ITH is essential in designing treatment plans, prognosis as well as the study of cancer progression. Single-cell DNA sequencing (scDNAseq) has been proven effective in deciphering ITH. Cells corresponding to each subclone are supposed to carry a unique set of mutations such as single nucleotide variations (SNV). While there have been many studies on the cancer evolutionary tree reconstruction, not many have been proposed that simply characterize the subclonality without tree reconstruction. While tree reconstruction is important in the study of cancer evolutionary history, typically they are computationa

SUBMITTER: Khan R 

PROVIDER: S-EPMC10597505 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature