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Data-driven Identification of Total RNA Expression Genes (TREGs) for Estimation of RNA Abundance in Heterogeneous Cell Types
View ORCID ProfileLouise A. Huuki-Myers, View ORCID ProfileKelsey D. Montgomery, View ORCID ProfileSang Ho Kwon, View ORCID ProfileStephanie C. Page, View ORCID ProfileStephanie C. Hicks, View ORCID ProfileKristen R. Maynard, View ORCID ProfileLeonardo Collado-Torres
doi: https://doi.org/10.1101/2022.04.28.489923
Louise A. Huuki-Myers
1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
Kelsey D. Montgomery
1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
Sang Ho Kwon
1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
2The Solomon H. Snyder Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, MD, USA
Stephanie C. Page
1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
Stephanie C. Hicks
3Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
Kristen R. Maynard
1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
4Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
Leonardo Collado-Torres
1Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
5Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
Posted April 29, 2022.
Data-driven Identification of Total RNA Expression Genes (TREGs) for Estimation of RNA Abundance in Heterogeneous Cell Types
Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, Stephanie C. Page, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado-Torres
bioRxiv 2022.04.28.489923; doi: https://doi.org/10.1101/2022.04.28.489923
Data-driven Identification of Total RNA Expression Genes (TREGs) for Estimation of RNA Abundance in Heterogeneous Cell Types
Louise A. Huuki-Myers, Kelsey D. Montgomery, Sang Ho Kwon, Stephanie C. Page, Stephanie C. Hicks, Kristen R. Maynard, Leonardo Collado-Torres
bioRxiv 2022.04.28.489923; doi: https://doi.org/10.1101/2022.04.28.489923
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