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An interpretable machine learning pipeline based on transcriptomics predicts phenotypes of lupus patients
Machine learning (ML) has the potential to identify subsets of patients with distinct phenotypes from gene expression data. However, phenotype prediction using ML has often relied on identifying important genes without a systems biology context. To address this, we created an interpretable ML approa...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582499/ https://www.ncbi.nlm.nih.gov/pubmed/37860757 http://dx.doi.org/10.1016/j.isci.2023.108042 |