Auto-HMM-LMF: feature selection based method for prediction of drug response via autoencoder and hidden Markov model.

Published in: BMC bioinformatics (2021)

We depicted an application of Auto-HMM-LMF in exploring the new candidate drugs for head and neck cancer that showed the proposed method is useful in drug repositioning and personalized medicine. The source code of Auto-HMM-LMF method is available in https://github.com/emdadi/Auto-HMM-LMF .

Keyphrases

machine learning
drug induced
deep learning
adverse drug
emergency department