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Figure 1 | BMC Genetics

Figure 1

From: Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data

Figure 1

Artificial Neural Network architecture with two layers containing 5 neurons in the hidden layer and one neuron in the output layer. The x i,p are the inputs for each animal i, and p is the number of SNPs; the w k,,j are the weights where k is the hidden layer neuron indicator and j is the index for SNP; b k l are the hidden layer biases, where k and l are the indexes for neurons and layers, respectively, and b 2 is the output neuron bias.

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