Article
Predicting CIN rates from single-cell whole genome sequencing data using an <i>in silico</i> model
2023-02-15
Abstract excerpt
Chromosomal instability (CIN) drives the formation of karyotype aberrations in cancer cells and is a major contributor to intra-tumour heterogeneity, metastasis, and therapy resistance. Understanding how CIN contributes to tumour karyotype evolution requires quantification of CIN rates in primary tumours. Single-cell sequencing-based technologies enable the detection of karyotype heterogeneity, however deducing th...
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Identifiers and source
- Literature Corpus work
- 68542050-9cb1-5fba-a5cb-9dc0d1707a71
- DOI
- 10.1101/2023.02.14.528596
