based around variational autoencoder (VAE) and antimicrobial activity prediction models for designing novel AMPs using only sequences and experimental minimum inhibitory concentration (MIC) data as ...

In order to run the autoencoder you should have as working directory the Autoencoder directory and run on the terminal the following command: is the path to the dataset that we will evaluate the ...

Recognition and prediction of observed human manipulation ... Our network has a variational autoencoder structure with two branches: one for identifying the input graph type and one for predicting the ...

Then, we employed a combination of variational autoencoder and graph attention to extract low-dimensional feature representations of microbes and drugs. Finally, the lowdimensional feature ...

This repository provides code to accompany the paper: Greener JG, Moffat L and Jones DT, Design of metalloproteins and novel protein folds using variational autoencoders ... one of the scripts and ...

technique was implemented to extract features and a variational autoencoder (VAE) for predictions. The goal is to predict the stock price with high accuracy. The technical indicators and historical ...