Building optimized single-cell reference atlases with <i>scAtlasTb</i>

Abstract excerpt

As single-cell transcriptomics datasets grow in size, number and complexity, the demand for well-curated reference atlases that aid in data analysis has increased. However, constructing high-quality reference atlases remains a largely bespoke process, leading to substantial variation in atlas quality and construction standards. Here, we present the s ingle- c ell Atlas T ool b ox ( scAtlasTb) , a modular fram...

Topics

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• Cancer Cells and Metastasis
• Cancer Genomics and Diagnostics
• Cells
• Machine Learning
• Models, Biological
• Neonatal Respiratory Health Research
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

52bdb19f-fd85-5100-926f-58edaf378009

DOI

10.64898/2026.07.30.741695