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Mouse Aging Cell Atlas Analysis Reveals Global and Cell Type Specific Aging Signatures
View ORCID ProfileMartin Jinye Zhang, Angela Oliveira Pisco, Spyros Darmanis, James Zou
doi: https://doi.org/10.1101/2019.12.23.887604
Martin Jinye Zhang
1Department of Electrical Engineering, Stanford University, Palo Alto, 94304 USA
2Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, 02120 USA
Angela Oliveira Pisco
3Chan-Zuckerberg Biohub, San Francisco, 94158 USA
Spyros Darmanis
3Chan-Zuckerberg Biohub, San Francisco, 94158 USA
James Zou
1Department of Electrical Engineering, Stanford University, Palo Alto, 94304 USA
3Chan-Zuckerberg Biohub, San Francisco, 94158 USA
4Department of Biomedical Data Science, Stanford University, Palo Alto, 94304 USA

- Supplementary Info[supplements/887604_file02.pdf]
Posted December 27, 2019.
Mouse Aging Cell Atlas Analysis Reveals Global and Cell Type Specific Aging Signatures
Martin Jinye Zhang, Angela Oliveira Pisco, Spyros Darmanis, James Zou
bioRxiv 2019.12.23.887604; doi: https://doi.org/10.1101/2019.12.23.887604
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