Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods

BMC Bioinformatics

Table 7 Table summarizes the accuracy of ANN, GRU, BILSTM, LSTM, and 1DCNN model for 32 SNPs

Model, SNPs = 32	Activation	Dropout	Optimizer	Batchsize	Epochs	Validation	Accuracy
ANN	Softmax	0.3	RMSprop	10	100	0.2	0.91
	Softmax	0.3	SGD	1	100	0.2	0.91
	Relu	0.3	RMSprop	15	50	0.2	0.91
	Relu	0.3	SGD	20	100	0.2	0.92
	Relu	0.3	SGD	1	100	0.3	0.92
GRU	Sigmoid	0.2	Adam	1	10	0.2	0.92
	Sigmoid	0.3	Adam	1	50	0.2	0.91
	Sigmoid	0.2	SGD	1	20	0.2	0.91
BILSTM	Sigmoid	0.2	RMSprop	15	20	0.2	0.91
1DCNN	Sigmoid	0.2	Adam	1	20	0.3	0.92
	Sigmoid	0.2	Adam	15	100	0.3	0.92
	Softmax	0.3	Adam	10	50	0.2	0.91
	Softmax	0.2	RMSprop	20	100	0.2	0.91
	Relu	0.3	RMSprop	10	50	0.2	0.91

ISSN: 1471-2105