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Tensorial blind source separation for improved analysis of multi omic data

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Figure

Fig. 1matrices informs about the pattern of variation of this component across tissue/data types and samples, respectively
Fig. 2 Comparison of multi-way algorithms on simulated data.as evaluated on simulated data (data points are averages over 1000 Monte Carlo runs)
Table 1 Comparison of running times of multi-way algorithms
Fig. 3 Comparison of multi-way algorithms on a multi-tissue smoking EWAS. a Left panel: Box plot of sensitivity (SE) values for each of the sevenmethods as applied to the data tensors of dimension 2 × 152 × 1062 (two tissues, 152 samples and 1000 randomly
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