Using the individual and phenotype PCA plots, we found a fewer number of components that explains most of the variance and several phenotypes, such as traffic intensity of the nearest major road and creatinine (
The splitting of G10 among two phenotypes related to liver problems and kidney disease reflected by higher levels of aspartate aminotransferase, blood urea nitrogen, and creatinine in patients later clustered into ‘G13’. We included in Appendix A.6 the updated parameter estimates grouping and ...
we found that the significant variables that played principal roles in CKD were Creatinine, BUN and UA as nephritic factors; HbA1C as blood glucose factors; Escore, γGT and GPT as hepatic factors. In addition, this study found that a clustering heatmap was a practical and accurate method ...