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Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN

2023-02-03

Abstract excerpt

Analysis of single-cell datasets generated from diverse organisms offers unprecedented opportunities to unravel fundamental evolutionary processes of conservation and diversification of cell types. However, inter-species genomic differences limit the joint analysis of cross-species datasets to homologous genes. Here, we present SATURN, a deep learning method for learning universal cell embeddings that encodes gene...

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Literature Corpus work: 7fc743bf-c161-59bc-ac9d-5eecf9930d96
DOI: 10.1101/2023.02.03.526939

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