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

BMC Bioinformatics

Table 9 Table summarizes the accuracy of ANN, GRU, BILSTM, LSTM, and 1DCNN model for 1560 SNPs

Model, SNPs = 1560	Activation	Dropout	Optimizer	Batchsize	Epochs	Validation	Accuracy
ANN	Sigmoid	0.2	Adam	1	10	0.3	0.94
	Sigmoid	0.2	Adam	1	100	0.2	0.93
	Sigmoid	0.2	SGD	10	100	0.2	0.945
	Relu	0.2	SGD	15	100	0.2	0.94
	Sigmoid	0.2	Adam	15	10	0.3	0.94
BILSTM	Sigmoid	0.2	SGD	1	100	0.1	0.93
BILSTM	Sigmoid	0.2	SGD	1	30	0.2	0.94
GRU	Sigmoid	0.2	SGD	1	50	0.2	0.94
GRU	Sigmoid	0.2	Adam	1	20	0.3	0.94
LSTM	Sigmoid	0.2	Adam	10	10	0.1	0.945
LSTM	Sigmoid	0.2	SGD	1	30	0.3	0.93
1DCNN	Relu	0.2	RMSprop	15	20	0.2	0.91
	Relu	0.2	RMSprop	20	50	0.3	0.9
	Relu	0.3	RMSprop	20	50	0.2	0.91
	Relu	0.5	RMSprop	20	50	0.1	0.91

ISSN: 1471-2105