Beyond exhibiting superior ability to recover the low‐rank representation compared with sJIVE, sGBFA demonstrates an interesting trend: as the number of outcomes increases, its estimated low‐rank representation becomes more accurate according to RRE.
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Simultaneous Representation Learning of Multi-Omics and Clinical Outcome Data via a Supervised Knowledge-Guided Bayesian Factor Model.
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