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Hi @zhendejuzi, one clarification - you are looking to use a model to automatically annotate cell types in your new data set using a tool like Azimuth?
We have experimented with adding this functionality in the past, however this was only a prototype and is likely not functional at the moment due to some dependency issues.
Can you share any more information about your use case?
Hi @MaximilianLombardo.
For example, I came across a dataset in an article, such as "A single-cell atlas of human and mouse white adipose tissue, PMID: 35296864" (or other articles/data in the future). Now, I would like to standardize the single-cell data from the study and re-annotate the cell types so that they are consistent with the data types and cell types in your cellxgene platform. I would like to know how to proceed, especially how to map the cell annotations from the authors of the article to your unified cell annotations([UBERON][CL]). Is there a convenient pipeline or code available for this purpose?
I am using cellxgene for single-cell data analysis. Suppose I have a new dataset x.h5ad, how can I map its cell types to the cell types in cellxgene?
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