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Table 2 The MMAE of tested models on the test data. Architecture similar to the D–GEX with TAAFs [8] is the T–D–GEX with 1 tower, the overall best model is shown in bold

From: On tower and checkerboard neural network architectures for gene expression inference

# Towers T–D–GEX C–D–GEX TR–D–GEX CR–D–GEX
1 0.131301 0.130796 0.129107 0.129163
2 0.130187 0.130281 0.128623 0.128437
3 0.129839 0.129969 0.128548 0.128187
4 0.129735 0.129872 0.128568 0.128078
5 0.129729 0.129883 0.128617 0.128053
6 0.129707 0.129799 0.128677 0.128053
8 0.129760 0.129874 0.128864 0.128095
10 0.129804 0.129881 0.129078 0.128218
12 0.129889 0.129891 0.129291 0.128353
D–GEX (1×9,000, tanh) [7, 8] 0.163684
D–GEX with TAAFs (3×9,000,TAAFo sigmoid) [8] 0.134015