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Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

6 May 2022

Abstract excerpt

Transcriptomic analyses are commonly used to identify differentially expressed genes between patients and controls, or within individuals across disease courses. These methods, whilst effective, cannot encompass the combinatorial effects of genes driving disease. We applied rule-based machine learning (RBML) models and rule networks (RN) to an existing paediatric Systemic Lupus Erythematosus (SLE) blood...

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PMID: 35523803
DOI: 10.1038/s41598-022-10853-1

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