A variational algorithm to detect the clonal copy number substructure of tumors from scRNA-seq data

• Published in: Nature communications Vol. 14; no. 1; pp. 1074 - 13
• Main Authors: De Falco, Antonio, Caruso, Francesca, Su, Xiao-Dong, Iavarone, Antonio, Ceccarelli, Michele
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 25.02.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114; 631/67/2329; 631/67/327; 631/67/69; 639/705; Algorithms; Aneuploidy; Brain cancer; Brain Neoplasms; Brain tumors; Breakpoints; Copy number; DNA Copy Number Variations - genetics; Evolution; Gene sequencing; Heterogeneity; Humanities and Social Sciences; Humans; Inference; multidisciplinary; Ribonucleic acid; RNA; Science; Science (multidisciplinary); Segmentation; Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; Single-Cell Gene Expression Analysis; Tumor microenvironment; Tumor Microenvironment - genetics; Tumors

Single-cell RNA sequencing is the reference technology to characterize the composition of the tumor microenvironment and to study tumor heterogeneity at high resolution. Here we report Single CEll Variational ANeuploidy analysis (SCEVAN), a fast variational algorithm for the deconvolution of the clo...