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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
The text was updated successfully, but these errors were encountered:
richelbilderbeek
changed the title
Always use latent layer to predict phenotypes using linear regression as well
Compare with regular prediction: latent layer and linear regression
May 20, 2022
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
The text was updated successfully, but these errors were encountered: