eLife
(Mar 2024)
Capturing the unpredictability of stem cells
Arda Durmaz,
Valeria Visconte
Affiliations
Arda Durmaz
Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, United States
Valeria Visconte
ORCiD
Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, United States
DOI
https://doi.org/10.7554/eLife.95513
Journal volume & issue
Vol. 13
Abstract
Read online
A new mathematical model that can be applied to both single-cell and bulk DNA sequencing data sheds light on the processes governing population dynamics in stem cells.
Keywords
Published in eLife
ISSN
2050-084X (Online)
Publisher
eLife Sciences Publications Ltd
Country of publisher
United Kingdom
LCC subjects
Medicine
Science: Biology (General)
Website
https://elifesciences.org
About the journal
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