@jacobkimmel's systematic questioning of the data and creative approaches really improved our understanding of how these tissues age.
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For example, his cell type classifier scNym trained to transfer annotations from the CZI mouse cell atlas achieves better performance than other available methods for us https://github.com/calico/scnym .
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And check out our web interface into the data: https://mca.research.calicolabs.com/
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Nice study! Now i know more about what you're doing at Calico. So, how do we use this new research to slow aging? Asking for a friend
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Good question! Next we’d like to better understand how gene expression changes relate to the debilitated functions of the older cells. We’ll move swiftly for you!
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Čini se da učitavanje traje već neko vrijeme.
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