Article

Unveiling Gene Modules at Atlas Scale through Hierarchical Clustering of Single-Cell Data

2025-03-14

Abstract excerpt

A major challenge in scRNAseq analysis is how to recover the biologically meaningful cell ontology tree and conserved gene modules across datasets. Data integration and batch-effect correction have been the key to effectively analyze multiple datasets, but often fail to disentangle cell states in heterogeneous samples, such as in cancer and the immune system. Here we present super single cell clustering (SuperSCC)...

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Literature Corpus work: b94098f4-c012-589d-acd8-99fe7475de85
DOI: 10.1101/2025.03.12.642774

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