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• W3204524279 endingPage "100087" @default.
• W3204524279 startingPage "100087" @default.
• W3204524279 abstract "Single-cell technologies are revolutionizing the ability of researchers to infer the causes and results of biological processes. Although several studies of pluripotent cell differentiation have recently utilized single-cell sequencing data, other aspects related to the optimization of differentiation protocols, their validation, robustness, and usage are still not taking full advantage of single-cell technologies. In this review, we focus on computational approaches for the analysis of single-cell omics and imaging data and discuss their use to address many of the major challenges involved in the development, validation, and use of cells obtained from pluripotent cell differentiation." @default.
• W3204524279 created "2021-10-11" @default.
• W3204524279 creator A5018039958 @default.
• W3204524279 creator A5065673127 @default.
• W3204524279 creator A5070127391 @default.
• W3204524279 creator A5081866388 @default.
• W3204524279 date "2021-10-01" @default.
• W3204524279 modified "2023-09-25" @default.
• W3204524279 title "Computational tools for analyzing single-cell data in pluripotent cell differentiation studies" @default.
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