Article

Outlier Detection in Single-Cell Transcriptomics Reveals Disease-Enriched Cytotoxic Immune Populations

2026-01-14

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) enables detailed analysis of cellular heterogeneity, but standard clustering approaches can miss rare cell populations with important disease relevance. We present an outlier-aware framework that complements clustering by identifying statistically unusual cells. Applied to COVID-19 bronchoalveolar lavage fluid (BALF) samples, this approach revealed strong disease-associated e...

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Literature Corpus work: e44856cb-3acd-5cea-98f3-ebe9beadd3c9
DOI: 10.64898/2026.01.12.699092

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