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Modeling the Depth of Cellular Dormancy from RNA-Sequencing Data

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages123-135
Number of pages13
DOIs
StatePublished - 2024

Publication series

NameMethods in Molecular Biology
Volume2811
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Dormancy
  • Quiescence depth score
  • R package
  • RNA-sequencing

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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