A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data
oleh: Antonio De Falco, Francesca Caruso, Xiao-Dong Su, Antonio Iavarone, Michele Ceccarelli
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2023-02-01 |
Deskripsi
The inference of clonal architectures in cancer using single-cell RNA-seq data remains challenging. Here, the authors develop SCEVAN, a variational algorithm for copy number-based clonal structure inference in single-cell RNA-seq data that can characterise evolution and heterogeneity in the tumour and the microenvironment.