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. 2022 Apr 27;9:840262. doi: 10.3389/fcvm.2022.840262

Figure 3.

Figure 3

Generalized low rank modeling. (A) Multiple features are summarized into two low rank matrices (X and Y). (B) Individuals can then be clustered using latent features, after which original features can be re-identified to summarize clinical features of each group [from Flores et al. (27)].