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Deep learning analysis of single-cell data in empowering clinical implementation Keywords: deep learning; single cell; translational study EN deep learning single cell translational study 1 4 4 08/03/22 20220701 NES 220701 Recent advances in single-cell sequencing technologies enable the characterization of cellular heterogeneity and biological processes in complex diseases. Similar DL technologies may be used to detect circulating tumor cells (CTCs, isolated tumor cells entering the circulatory system of a patient with cancer), which are considered an effective tool for diagnosing malignancy. It enables multiple analysis, including batch effect removal, cell cluster prediction, gene imputation, and differentially expressed gene identification.10 scVI can identify CSC populations and determine what types of cells CSCs can differentiate into. [Extracted from the article]