Topic: "subclonal-deconvolution"
AntonioDeFalco/SCEVAN
R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
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nf-core/tumourevo
Analysis pipleine to model tumour clonal evolution from WGS data (driver annotation, quality control of copy number calls, subclonal and mutational signature deconvolution)
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caravagn/mobster_supp_data
Supplementary Data released with Caravagna et al. Subclonal reconstruction of tumors by using machine learning and population genetics. Nature Genetics volume 52, 898–907(2020).
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