/DearCascadedWx

Public codes for Cascaded Wx algorithm to select genes relative with patients survivals.

Primary LanguagePythonMIT LicenseMIT

DearCascadedWx

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

Environment

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

Usage

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