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Table 3 Performance when predicting metabolite (cluster-level) abundance from microbiome (species-level) abundance

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

Method Top 10 Corr.Coef Active links Stability index
Linear Regression (LR) 0.46 241956 _
+ Sparsity (LASSO) 0.70 6143 0.50
+ Non-neg. weights 0.70 4417* 0.52
CCA 0.47 20449 (E) + 241956 (D) _
Linear NED 0.60 10010 (E) + 118440 (D) _
+ Nonlinear activation (NED) 0.74 10010 (E) + 118440 (D) _
+ Sparsity (Sparse-NED) 0.74 2216 (E) + 4284 (D) 0.79
+ Non-neg. weights (Nonneg-Sparse-NED) 0.74 1522* (E) + 2568*(D) 0.63
  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