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Modeling the Depth of Cellular Dormancy from RNA-sequencing data

Wei, M. Y.; Yao, G.

2023-12-12 systems biology
10.1101/2023.12.11.571187 bioRxiv
Show abstract

High-throughput transcriptome RNA sequencing is a powerful tool for understanding dynamic biological processes. Here, we present a computational framework, implemented in an R package QDSWorkflow, to characterize heterogeneous cellular dormancy depth using RNA-sequencing data from bulk samples and single cells.

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