<i>MapMyCells:</i> High-performance mapping of unlabeled cell-by-gene data to reference brain taxonomies

Abstract excerpt

Single-cell mapping methods convert raw, heterogeneous single-cell datasets into interpretable and comparable representations of biological identity. As reference cell-type taxonomies mature, mapping new datasets to shared references has become a central strategy for enabling cross-study integration, reproducible annotation, and cumulative biological knowledge. Here we present MapMyCells , an open-source framewor...

Topics

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• Cancer Cells and Metastasis
• Cells
• Functional Brain Connectivity Studies
• Machine Learning
• Models, Biological
• Neonatal Respiratory Health Research
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

d15c33cb-3c0a-5d66-b931-c7d0120185bc

DOI

10.64898/2026.03.06.710160