scLong: a billion-parameter foundation model for capturing long-range gene context in single-cell transcriptomics

Nature·Feb 5

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A new foundation model called scLong has been developed for single-cell transcriptomics, focusing on long-range gene context. Other approaches and tools, such as scNET, SCALPEL, and LSH-GAN, are also being explored for analyzing single-cell gene expression data. The development of these models and tools suggests ongoing research in the field of single-cell transcriptomics and AI-driven drug discovery.

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scNET: learning context-specific gene and cell embeddings by integrating single-cell gene expression data with protein–protein interactions

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Quantification of transcript isoforms at the single-cell level using SCALPEL

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View original report at Nature ↗