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