Fig. 7From: Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional dataBox plot of test correlations in nutrigenomic data. Left and right panels show the box plot of 100 times test correlation using sparse CCA and TSKCCA, respectively. TSKCCA achieves significantly higher test correlation through its first weight vector (p<10−6 with a t-test)Back to article page