PCA for 3 dimensional matrices, I have 3 matrices (A (contains drugs), B(contains diseases), and C(contains Pathways)). Out of which Matrix A has 86 columns, matrix B has 177 columns and Matrix C has 877 columns(or features). Now I want to do some kind of feature selection using PCA which can reduce the features of C in combination with matrix A and B.
Can someone suggest me some ideas to perform such analyses? I have the PCA algorithm, but I actually want to understand how can I input such matrices to get the potential features from C affecting combination of A and B.