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scLong: A Billion-Parameter Foundation Model for Capturing Long-Range Gene Context in Single-Cell Transcriptomics

2024-12-05

Abstract excerpt

<title>Abstract</title> <p>Single-cell RNA sequencing (scRNA-seq) has revolutionized the study of cellular heterogeneity by providing gene expression data at single-cell resolution, uncovering insights into rare cell populations, cell-cell interactions, and gene regulation. Foundation models pretrained on large-scale scRNA-seq datasets have shown great promise in analyzing such data, but existing approaches are o...

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Literature Corpus work: 1165986c-186f-5e26-a59e-69ca8d7c6374
DOI: 10.21203/rs.3.rs-5420259/v1

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