CNVeil enables accurate and robust tumor subclone identification and copy number estimation from single-cell DNA sequencing data.
Published:
To address these challenges, we introduce CNVeil, a robust quantitative algorithm designed to accurately reveal CNV profiles while overcoming the inherent noise and bias in scDNA-seq data. CNVeil incorporates a unique bias correction method using normal cell profiles identified by a PCA-based Gini coefficient, effectively mitigating sequencing bias.
Recommended citation: Yuan, W., Luo, C., Hu, Y., Zhang, L., Wen, Z., Liu, Y. H., ... & Zhou, X. M. (2024). CNVeil enables accurate and robust tumor subclone identification and copy number estimation from single-cell DNA sequencing data. bioRxiv, 2024-02. https://www.biorxiv.org/content/10.1101/2024.02.21.581409.abstract