In this paper, we propose a novel pathway method DeepHisCoM (Deep-learning pathway analysis using Hierarchical structured CoMponent models) which uses deep learning analysis to find complex relationships between biological factors and pathways.
Change the code flexibily depending on the situation.
For example, you can make cross-validation code via this code file. In addition, you can make some more extension of structure of DeepHisCoM, or you can use your own gpu. In our paper, we used some modified version of this code.
2022.03.06. code is updated.