Fig. 9: Hierarchical clustering using the estimated coefficients of ridge regressions from each cluster. | npj Genomic Medicine

Fig. 9: Hierarchical clustering using the estimated coefficients of ridge regressions from each cluster.

From: Multi-omic integration sets the path for early prevention strategies on healthy individuals

Fig. 9

A Ridge regression used main fractions of HDL as response variable and monogenic scores for 28 genes as predictors. B Ridge regression used main fractions of IDL and monogenic scores for 28 genes as predictors. C Ridge regression used main fractions of LDL and monogenic scores for 28 genes as predictors. D Ridge regression used main fractions of VLDL are response variable and monogenic scores for 28 genes as predictors.

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