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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