In addition to the deep learning model, i.e., stacked sparse autoencoder network (SSAE), five different prediction techniques including multiple stepwise linear regressions, K-nearest neighbor, ...

Prediction of microbe–drug associations based on a modified graph attention variational autoencoder and random forest. Bo Wang 1,2 * Fangjian Ma 1 Xiaoxin Du 1 ... autoencoder modules based on GAE ...

The model I implemented with pytorch can be found in the autoencoder.py file. Here's the structure of the neural network: The other models used contains a Random Forest model, a Logistic Regression ...

These two feature matrices are input into a sparse autoencoder, from which we obtain the latent features of miRNAs (M) and diseases (D). The dimension of the M matrix is 495 × 128, and the dimension ...

The LiDAR plots-stratified random samples of forest biomass extracted from the LiDAR simulated strips in the reference map-were adopted as a surrogate for traditional field plots. In addition to the ...