Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of art... | RTCL.TV

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### Keywords ###
#celltypes #artificialintelligence #myocardialinfarction #enabledresearchers #characterizepopulations #heartsrecovering #SparseModeling #RTCLTV

### Article Attribution ###
Title: Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of artificial-intelligence-based tools
Authors: Thanh Nguyen, Yuhua Wei, Yuji Nakada, Jake Y. Chen, Yang Zhou, Gregory Walcott ,and Jianyi Zhang
Publisher: Nature Portfolio
DOI: 10.1038/s41598-023-32293-1
DOAJ URL: https://doaj.org/article/970bfb635c78409da10f40be38268f46
Source URL: https://doi.org/10.1038/s41598-023-32293-1



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### Video Timestamps ###
0:00:00 - Summary
0:01:16 - Title
0:01:22 - Outro
0:01:26 - End




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Tags:
RTCLTV
Sparse Modeling
artificial intelligence
cell types
characterize populations
enabled researchers
hearts recovering
myocardial infarction