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

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 learni...

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Detalles Bibliográficos
Autores principales: Yones, Sara A., Annett, Alva, Stoll, Patricia, Diamanti, Klev, Holmfeldt, Linda, Barrenäs, Carl Fredrik, Meadows, Jennifer R. S., Komorowski, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076598/
https://www.ncbi.nlm.nih.gov/pubmed/35523803
http://dx.doi.org/10.1038/s41598-022-10853-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076598/
https://www.ncbi.nlm.nih.gov/pubmed/35523803
http://dx.doi.org/10.1038/s41598-022-10853-1

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