Article

CellPhenoX: An eXplainable Cell-specific machine learning method to predict clinical Phenotypes using single-cell multi-omics

2025-01-27

Abstract excerpt

<h4>SUMMARY</h4> Single-cell technologies have enhanced our knowledge of molecular and cellular heterogeneity underlying disease. As the scale of single-cell datasets expands, linking cell-level phenotypic alterations with clinical outcomes becomes increasingly challenging. To address this, we introduce CellPhenoX, an eXplainable machine learning method to identify cell-specific phenotypes that influence clinical...

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Literature Corpus work: a1941115-58f6-5487-90cf-3d01a174e12b
DOI: 10.1101/2025.01.24.634132

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