Tensorial blind source separation for improved analysis of multi-omic data
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.On epi