Modeling the Depth of Cellular Dormancy from RNA-sequencing data
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OA: closed
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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- last seen: 2026-05-19T01:45:01.086888+00:00