Panoramic stitching of heterogeneous single-cell transcriptomic data

Abstract excerpt

Researchers are generating single-cell RNA sequencing (scRNA-seq) profiles of diverse biological systems 1–4 and every cell type in the human body. 5 Leveraging this data to gain unprecedented insight into biology and disease will require assembling heterogeneous cell populations across multiple experiments, laboratories, and technologies. Although methods for scRNA-seq data integration exist 6,7 , they often n...

Topics

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• Cancer Genomics and Diagnostics
• Gene Expression Profiling
• Immune cells in cancer
• Melanoma
• Phenotype
• Sequence Analysis, RNA
• Single-Cell Analysis
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

c95ac25f-8f8f-570e-bae0-600ee3bcb575

DOI

10.1101/371179