Article

A deep-learning tool for species-agnostic integration of cancer cell states

2024-12-22

Abstract excerpt

Genetically engineered mouse models (GEMM) of cancer are a useful tool for exploring the development and biological composition of human tumors and, when combined with single-cell RNA-sequencing (scRNA-seq), provide a transcriptomic snapshot of cancer data to explore heterogeneity of cell states in an immunocompetent context. However, cross-species comparison often suffers from biological batch effect and inherent...

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Literature Corpus work: de9d102d-406e-5af3-a5c8-748165189832
DOI: 10.1101/2024.12.20.629285

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