Article

Robust identification of perturbed cell types in single-cell RNA-seq data

2023-05-08

Abstract excerpt

Single-cell transcriptomics has emerged as a powerful tool for understanding how different cells contribute to disease progression by identifying cell types that change across diseases or conditions. However, detecting changing cell types is challenging due to individual-to-individual and cohort-to-cohort variability and naive approaches based on current computational tools lead to false positive findings. To addr...

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Literature Corpus work: d7f993a1-2157-5e3a-aee2-0942b22e2518
DOI: 10.1101/2023.05.06.539326

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