Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data
Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply the...
| Auteurs principaux: | , , , , , |
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| Autres auteurs: | |
| Format: | Journal article |
| Langue: | English |
| Publié: |
Springer Nature
2019
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