Setup finetuning workflow

[siboehm]

• [ ] Lincs vs Trapnell have different number of genes: ~970 genes in LINCS, 5000 genes in Trapnell. How do we deal with this? We could add another layer to the encoder & decoder for finetuning. We could also also have an output dimension of 5000 already on LINCS and just set all non-occurring genes to 0.
• [ ] Dealing with the Adversarial classifier: If we decide to classify clusters while finetuning on LINCS (#22), then it might make sense to train a new adversarial classifier on Trapnell which uses the vanilla CPA BCE loss over all 188 drugs.

[siboehm]

Since we've decided to not tackle 2) for now (only when it becomes necessary), I'm closing this in favour of #34