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Unify: Learning Cellular Evolution with Universal Multimodal Embeddings

2025-09-17

Abstract excerpt

Integrating single-cell RNA-sequencing (scRNA-seq) data across species is hindered by evolutionary divergence, technical batch effects, and the reliance on one-to-one orthologs. We present Unify, a transfer learning methodology that learns universal cell embeddings by defining functionally coherent, multi-modal macrogenes. This is achieved by combining RNA expression with embeddings from protein language models an...

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Literature Corpus work
251882e9-bbd9-563a-88da-bad524793f3c
DOI
10.1101/2025.09.07.674681
Open publication

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Unify: Learning Cellular Evolution with Universal Multimodal EmbeddingsDOI 10.1101/2025.09.07.674681
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