Article

Interpretable Machine Learning Identifies Paediatric Systemic Lupus Erythematosus Subtypes Based On Gene Expression Data

2021-07-07

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 expression...

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Literature Corpus work: 29f82e80-6301-5eac-8cd4-c2fee8c5eec6
DOI: 10.21203/rs.3.rs-588542/v2

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