- Course overview
- Search within this course
- What is machine learning?
- ML in drug discovery: why now?
- ML in the drug discovery pipeline
- Getting started in ML using WEKA
- Hands-on with WEKA
- Identifying targets for cancer using gene expression profiles
- Summary
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- References
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Other tools utilising ML or NLP for drug discovery
In this section, we’ll introduce three tools that utilise machine learning and/or natural language processing to analyse its underlying data; they can be used to assist you when trying to identify or prioritise targets in any drug discovery pipeline. These tools are:
- Open Targets Genetics
- Europe PMC and Open Targets Platform