Public codes for Cascaded Wx algorithm to select genes relative with patients survivals.
A Keras implementation of paper, :
[Cascaded Wx: a novel prognosis-related feature selection framework in human lung adenocarcinoma transcroptiomes] Bonggun Shin et al.
Contacts
- Your contributions to the repo are always welcome.
Open an issue or contact me with E-mail
sspark@deargen.me
python == 3.6.8
tensorflow-gpu == 1.10.0
keras == 2.2.4
xgboost == 0.90
scikit-learn == 0.21.2
lifelines == 0.21.3
Download the TCGA data
$ DearCacadedWx\src]python download_tcga.py
$ DearCacadedWx\src]python split_tcga.py
Get score from elastic-net
$ DearCacadedWx\src]python train_elastic.py
Feature Selection and Performance evaluation
$ DearCacadedWx\src]python run.py