Annotation-free phenotype prediction using knowledge-augmented clustering from single-cell RNA sequencing data.

Abstract excerpt

Single-cell RNA sequencing has emerged as a transformative tool, enabling precise phenotype prediction and the detailed identification of disease-associated cell subpopulations. However, many existing computational approaches still rely on predefined cell-type annotations during model training. This dependence makes their predictive performance highly sensitive to subjective annotation quality, labeling...

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