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The various effects observed in traumatic brain injury overlap, but the signals used for assessing the various components are often noisy, incomplete, and/or small. SiMLR leverages the covariation between imperfect data sources (along with dimensionality reduction techniques) to infer the underlying signal(s) of interest in a focused, statistically powerful way. PCA, principal component analysis; SiMLR, similarity-driven multi-view linear reconstruction.
