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...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2017-07-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-017-06516-1 |