Fig. 2.

Schematic illustrating our method. Our method projects the multi-modal imaging genetics data into a common matrix and different coefficient matrices. The features of the original data X_K can be divided into d_K groups, which are ${\varsigma }_1^K,{\varsigma }_2^K,\cdots ,{\varsigma }_{d_K}^K$. The yellow and white in H₁, H₂, …, H_k represent non-zero and zero respectively.