The neural network for the quantitative trait prediction may not be better than a linear regression, especially if one uses only two dimensions. To find out: use the points from the latent layer and let other methods (among other, linear regression) use it as input. In that way, the NN for QT prediction can be valuated correctly
From Daniil (#22):
The neural network for the quantitative trait prediction may not be better than a linear regression, especially if one uses only two dimensions. To find out: use the points from the latent layer and let other methods (among other, linear regression) use it as input. In that way, the NN for QT prediction can be valuated correctly