Autoencoder for multi-label classification using Google's Tensorflow framework and MDMR for feature selection.
-
Updated
Aug 31, 2017 - Python
Autoencoder for multi-label classification using Google's Tensorflow framework and MDMR for feature selection.
The repository contains data analysis performed for the UCT Prague (Master thesis, Bioinformatics).
This GitHub repository contains the code used in the data analysis portion of the Bachelor's Degree Project: Identification of an Immune Infiltration Signature in Breast Cancer Subtypes and its Association with Tumor Clinicopathological Characteristics and Patient Outcome by Linn Berglund, Olivia Blomberg, Stephanie Mobedjina, & Alice Åhlund
Add a description, image, and links to the cancer-subtypes topic page so that developers can more easily learn about it.
To associate your repository with the cancer-subtypes topic, visit your repo's landing page and select "manage topics."