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Table 2 Number of Genes Within R 2 Bins for MLP-SAE and MLP-SAE with Dropout Models

From: A deep auto-encoder model for gene expression prediction

R 2 MLP-SAE MLP-SAE with Dropout
(0,0.05] 3621 3507
(0.05,0.1] 1128 1121
(0.1,0.2] 1111 1086
(0.2,0.3] 436 493
(0.3,0.4] 181 229
(0.4,0.5] 96 110
(0.5,0.6] 23 43
(0.6,0.7] 8 13
(0.7,0.8] 0 2
  1. For each gene, R 2 is calculated between the true and estimated expression values using the MLP-SAE model or the MLP-SAE model with dropout