Pattern-based Classification and Survival Analysis of Chronic Kidney Disease
نویسندگان
چکیده
This study integrates the principles of pattern-based classification and Kaplan-Meier survival analysis to identify genes and clinical features associated with the rapid progression of chronic kidney disease. The methodology successfully determines the gene-gene survival interactions in the African-American Study of Chronic Kidney Disease with Hypertension (AASK) genomic dataset. The results obtained from this study serves as a basis for the future studies on comparison of the disease progression in white patients with that in African-American patients, both those with and those without apolipoprotein L1 (APOL1) high-risk variants.
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