Table 4 Three different categories of DL classifiers i.e., \(\bigstar\) denotes classifiers with top performance for a modality, \(\bullet\) shows the moderate performing classifiers for a modality and \(\times\) represents the lowest performance.
From: Multi-omics driven computational framework for cancer molecular subtype classification
Classifier | Array | CNV | Exon | Meth. | RNA | RPPA | SNP | miRNA |
|---|---|---|---|---|---|---|---|---|
MLP | \(\bullet\) | \(\bullet\) | \(\times\) | \(\bullet\) | \(\bullet\) | \(\bigstar\) | \(\times\) | \(\bigstar\) |
NN | \(\bigstar\) | \(\bigstar\) | \(\bigstar\) | \(\bigstar\) | \(\bigstar\) | \(\bigstar\) | \(\times\) | \(\bigstar\) |
CNN | \(\bigstar\) | \(\bigstar\) | \(\times\) | \(\bullet\) | \(\bullet\) | \(\bigstar\) | \(\times\) | \(\bigstar\) |
ResNet18 | \(\bullet\) | \(\times\) | \(\bigstar\) | \(\bigstar\) | \(\bigstar\) | \(\times\) | \(\times\) | \(\bigstar\) |
ResNet34 | \(\bullet\) | \(\times\) | \(\times\) | \(\bullet\) | \(\bullet\) | \(\times\) | \(\times\) | \(\bullet\) |
GRU | \(\bullet\) | \(\bullet\) | \(\times\) | \(\bullet\) | \(\times\) | \(\bigstar\) | \(\times\) | \(\bullet\) |
RNN | \(\times\) | \(\bullet\) | \(\times\) | \(\times\) | \(\times\) | \(\bigstar\) | \(\times\) | \(\bullet\) |
LSTM | \(\times\) | \(\bullet\) | \(\times\) | \(\times\) | \(\times\) | \(\bullet\) | \(\times\) | \(\bullet\) |
DEEPGEN | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\bullet\) | \(\times\) | \(\bigstar\) |
ResNet50 | \(\times\) | \(\times\) | \(\bullet\) | \(\bullet\) | \(\bullet\) | \(\times\) | \(\times\) | \(\times\) |
ResNet101 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
ResNet152 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
DenseNet101 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
DenseNet201 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
DenseNet121 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
DenseNet169 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
CNN-GRU | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\bullet\) | \(\times\) | \(\times\) |
CNN-RNN | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\bigstar\) | \(\times\) | \(\bullet\) |
CNN-LSTM | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\bullet\) | \(\times\) | \(\times\) |
DenseNet161 | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) | \(\times\) |
