Novel risk genes for systemic lupus erythematosus predicted by random forest classification
Abstract Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individual’s SLE risk we designed a random forest classifier using SNP genotype data generate...
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Auteurs principaux: | , , , , , , , , , , , , , , , , , , , |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2017
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Accès en ligne: | https://doaj.org/article/95b05eb647a546ff93ea49bf8605180e |
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