Predicting CIN rates from single-cell whole genome sequencing data using an in silico model
B. Bakker, M. Schubert, A. C. Bolhaqueiro, G. J. Kops, D. C. Spierings, F. Foijer
The paper develops an in silico model, CINsim, to predict chromosomal instability (CIN) rates from single-cell whole genome sequencing data by simulating karyotype dynamics and validating it in mouse and human cancer models.
bioRxiv · Feb 14, 2023 · PreprintCancer Biology