Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease.

ABSTRACT: Single-cell technologies offer a unique opportunity to explore cellular heterogeneity in health and disease. However, reliable identification of cell types and states represents a bottleneck. Available databases and analysis tools employ dissimilar markers, leading to inconsistent annotations and poor interpretability. Furthermore, current tools focus mostly on physiological cell types, limiting their applicability to disease. We present the Cell Marker Accordion, a user-friendly platform providing automatic annotation and unmatched biological interpretation of single-cell populations, based on consistency weighted markers. We validate our approach on multiple single-cell and spatial datasets from different human and murine tissues, improving annotation accuracy in all cases. Moreover, we

SUBMITTER: Busarello E 

PROVIDER: S-EPMC12234662 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature