Article

Supervised learning of high-confidence phenotypic subpopulations from single-cell data

2023-03-25

Abstract excerpt

Accurately identifying phenotype-relevant cell subsets from heterogeneous cell populations is crucial for delineating the underlying mechanisms driving biological or clinical phenotypes. Here, by deploying a learning with rejection strategy, we developed a novel supervised learning framework called PENCIL to identify subpopulations associated with categorical or continuous phenotypes from single-cell data. By embe...

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Literature Corpus work: 2c8b9f1e-8417-5d23-8acf-b697d0529401
DOI: 10.1101/2023.03.23.533712

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