Article

Scaling cross-tissue single-cell annotation models

2023-10-10

Abstract excerpt

Identifying cellular identities (both novel and well-studied) is one of the key use cases in single-cell transcriptomics. While supervised machine learning has been leveraged to automate cell annotation predictions for some time, there has been relatively little progress both in scaling neural networks to large data sets and in constructing models that generalize well across diverse tissues and biological contexts...

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Literature Corpus work: a4d9c7b0-e15c-51bb-bbd7-a85ba27b40cb
DOI: 10.1101/2023.10.07.561331

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