165-CellPhenoX: Explainable for Single-Cell Multi-Omics

The paper introduces CellPhenoX, a novel, explainable machine learning method designed to predict clinical phenotypes using single-cell multi-omics data. This computational tool integrates classification models, explainable AI (XAI) techniques, and a statistical framework to generate cell-specific Interpretable Scores that link cellular populations to clinical outcomes while accounting for covaria...去小宇宙查看完整单集简介
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