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Table 1 Details of input and hidden layers, as well as parameters for each architecture used

From: Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data

Dataset Architecture Nodes Layer 1 Nodes layer 2 Effective parameters (million)
  Dense 100 0.95 M
Dense + pathway 100 + 92 0.95 M
Dense + PPI 100 + 348 0.96 M
Mouse Dense + PPI and GRN 100 + 696 1.01 M
  Dense + PPI and GRN 100 + 696 100 1.08 M
Pathway 92 0.01 M
Pathway 92 100 0.02 M
Dense 100 1.80 M
Human Pathway 93 0.01 M
  Pathway 93 100 0.02 M