Topic
Generative models research, explained
4 open-access generative models studies, each with a flashcard deck and a quiz.
- Does modelling how drugs change gene expression help predict response?
A variational autoencoder that learns both how drugs shift gene expression and whether cells respond predicted drug sensitivity better than standard classifiers for over half of the drugs tested.
- Can a brain-connectivity model make better fMRI classifiers?
Classifying people by the connection strengths of a fitted brain model, rather than raw voxel activity, identified aphasia patients almost perfectly and pointed to which connections mattered.
- Can a GAN sharpen cheap, low-coverage chromosome contact maps?
A generative adversarial network rebuilt sharp high-resolution chromosome contact maps from as little as 1% of the sequencing reads, beating earlier CNNs that produced blurry results.
- Can a diffusion model generate shapes of floppy proteins?
A diffusion model trained on simulations generated realistic shape ensembles for disordered peptides it had never seen, far faster than simulation, but it inherited the simulations' bias toward overly compact shapes.