Browsing Clinical Studies by author "Chkhaidze, Ketevan"
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Spatially constrained tumour growth affects the patterns of clonal selection and neutral drift in cancer genomic data.
Chkhaidze, K; Heide, T; Werner, B; Williams, MJ; Huang, W; et al. (PUBLIC LIBRARY SCIENCE, 2019-07-29)Quantification of the effect of spatial tumour sampling on the patterns of mutations detected in next-generation sequencing data is largely lacking. Here we use a spatial stochastic cellular automaton model of tumour growth ... -
Subclonal reconstruction of tumors by using machine learning and population genetics.
Caravagna, G; Heide, T; Williams, MJ; Zapata, L; Nichol, D; et al. (NATURE PUBLISHING GROUP, 2020-09-01)Most cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopulations, as well as normal cells. Subclonal reconstruction methods based on machine learning aim to separate those subpopulations ...