In the absence of simultaneous single-cell DNA and RNA sequencing data, gene expression levels from single cells can be used to computationally infer large-scale copy number variations by averaging gene expression over large genomic regions and comparing to reference diploid cell gene expression. This computational approach allows prediction of whole chromosome copy number alterations based solely on transcriptional data. [@zhao_single-cell_2019]