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).
TAVNIT is a pipeline dedicated to the identification of targets for CAR-Ts and other anticancer drugs. The pipeline comprises cancer subtyping and subsequent extraction of cancer subtype signatures. It utilizes hierarchical clustering with constraints and an Ant Colony Optimization algorithm. Author: Dmitri Finaev (ORCID 0000-0003-3470-8501)
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."