Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts.
Interpreting bulk RNA sequencing from heterogeneous tissues like the post-myocardial infarction (MI) heart is confounded by dynamic changes in cell-type composition. To address this, we developed a computational approach using single-nucleus RNA sequencing (snRNA-seq) references to estimate and corr...
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Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-07-01
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Series: | PLoS Genetics |
Online Access: | https://doi.org/10.1371/journal.pgen.1011807 |
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