Abstract There is an increased need for integrative analyses of multi-omic data. We present and benchmark a novel tensorial independent component analysis (tICA) algorithm against current state-of-the-art methods. We find that tICA outperforms competing methods in identifying biological sources of data variation at a reduced computational cost. https://www.nacrack.com/mega-pick-As-for-Me-and-My-House-Wall-Decal-in-Hebrew-Yahauh-flash-find/