Analyzing-RNA-Seq-Gene-Expression-Data-Using-Deep-Learning-Approaches-for-Cancer-Classification

Code reproduction for the paper:

Analyzing RNA-Seq Gene Expression Data Using Deep Learning Approaches for Cancer Classification

Reproduction result

Code Repdocution					Original
Model	Precision	Recall	F1-Score	Accuracy	Model	Accuracy
CNN	0.8564	0.8872	0.8658	0.9183	CNN	0.9695
AlexNet	0.877	0.9028	0.8824	0.9375	AlexNet	0.931
GoogleNet	0.8982	0.8916	0.8897	0.9362	GoogleNet	0.9586
VGG16	0.9377	0.913	0.9219	0.9567	VGG16	0.9287
VGG19	0.9541	0.9076	0.9061	0.9138	VGG19	0.9109
ResNet50	0.9688	0.9466	0.9691	0.9295	ResNet50	0.9671
ResNet101	0.899	0.9278	0.9055	0.9537	ResNet101	0.9539
ResNet152	0.8485	0.8525	0.8502	0.9103	ResNet152	0.9478

Example visualization

Add Grad CAM to visualize the RNA feature.