Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN

Improved Prediction of Cancer Outcome Using Graph-Embedded Generative Adversarial Networks

GVES: machine learning model for identification of prognostic genes with a small dataset

RefDNN: a reference drug based neural network for more accurate prediction of anticancer drug resistance

Novel deep learning model for more accurate prediction of drug-drug interaction effects

RN+: A Novel Biclustering Algorithm for Analysis of Gene Expression Data Using Protein？Protein Interaction Network

DockerBIO: web application for efficient use of bioinformatics Docker images

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing

An Improved Method for Prediction of Cancer Prognosis by Network Learning

G2Vec: Distributed gene representations for identification of cancer prognostic genes