Joint-deep-semi-NMF A joint deep semi-NMF method for learning integrative representation of molecular signals in blood samples from patients with Alzheimer's disease

 

 
News
2020/1/30: Source codes and data sets are updated.
Introduction
In this study, we introduced a joint deep semi-NMF model, a nonlinear feature extraction model that can capture shared latent representation from the complex multi omics data.
Source codes
Source codes implemented in python are available here .
Contacts
sehwanmoon@gist.ac.kr, hyunjulee@gist.ac.kr