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Table 4 Performance when predicting metabolite (class-level) abundance from microbiome (genus-level) abundance

From: Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome

Method Top 10 Acc Corr.Coef Active links Stability index
Linear Regression (LR) 0.39 9741 _
+ Sparsity (LASSO) 0.62 898 0.57
+ Non-neg. weights 0.58 685 0.61
CCA 0.61 2601 (E) + 9741 (D) _
Linear NED 0.59 7150 (E) + 84600 (D) _
+ Nonlinear activation (NED) 0.63 7150 (E) + 84600 (D) _
+ Sparsity (Sparse-NED) 0.67 551 (E) + 702 (D) 0.80
+ Non-neg. weights (Nonneg-Sparse-NED) 0.66 360* (E) + 428* (D) 0.66
  1. Acronyms: NED neural encoder-decoder; E encoder; D decoder. The stability indices of the fully connected models are naturally 1.0 and not worth including