Interpretable Differential Abundance Signature (iDAS).

ABSTRACT: Single-cell technologies have revolutionized the understanding of cellular dynamics by allowing researchers to investigate individual cell responses under various conditions, such as comparing diseased versus healthy states. Many differential abundance methods have been developed in this field, however, the understanding of the gene signatures obtained from those methods is often incomplete, requiring the integration of cell type information and other biological factors to yield interpretable and meaningful results. To better interpret the gene signatures generated in the differential abundance analysis, iDAS is developed to classify the gene signatures into multiple categories. When applied to melanoma single-cell data with multiple cell states and treatment phenotypes, iDAS identified ce

SUBMITTER: Yu L 

PROVIDER: S-EPMC12825360 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature