2023
DOI: 10.1101/2023.05.10.540140
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Profiling drug sensitivity of leukemic stem cells via bulk-to-single-cell deconvolution

Abstract: Ex-vivo drug sensitivity screening (DSS) allows the prediction of cancer treatment effectiveness in a personalized fashion. However, it only provides a readout on mixtures of cells, potentially occulting important information on clinically relevant cell subtypes. To address this shortcoming, we developed a machine-learning framework to deconvolute bulk RNA expression matched with bulk drug sensitivity into cell subtype composition and cell subtype drug sensitivity. We first determined that our method could dec… Show more

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