This is a hidden page.

Links to some interesting website

Interpretable Machine Learning

• Interpretable Machine Learning by Christopher Molner link
• Pitfalls in Machine Learning Research: Reexamining the Development Cycle link
• General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models link
• Interpretable and Explainable Machine Learning by Hima Lakkaraju link

Networks and Graph Neural Networks

• Graph Representational Learning by William Hamilton link
• Machine Learning with Graph course by Prof Leskovec from Stanford link

Bioinfomatics - tools

• Recommendations for the packaging and containerizing of bioinformatics software link
• Commandline Bioinformatics link
• Machine Learning for Biology: A checklist link
• Deep Learning Challenges in Biology and Medicine by Ching et al. 2018 link