Feedback Daniil

[richelbilderbeek]

From a talk with Daniil's notes (eduPrint_scan_2022-04-05-13-09-00.pdf):

• Compare with other methods, e.g.

  • [ ] PCA #34
  • [ ] UMAP #36

• Indeed, one should use data of sufficient complexity

• [ ] #38 Use a neural network that is trained on a real dataset, then inject SNPs and phenotypes. In that way, you should detect if the neural network pick it up yes/no

• [ ] #37: 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

[richelbilderbeek]

As this Issue has been split into many, close this one :-)