Joint analysis of multiple high-dimensional data types using sparse matrix approximations of rank-1 with applications to ovarian and liver cancer.

This particular combination was chosen because the FDR values for ζ 1 (0) and ζ 3 (0) were highly significant compared to ζ 2 (0) , which implied the type-specific signatures ζ 1 and ζ 3 best explained the common SOI shared by all three different data types.

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