- 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
- Other tools utilising ML or NLP for drug discovery
- Summary
- Your feedback
- Learn more
- References
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Summary
What is Machine Learning (ML)
Machine learning is a subset of artificial intelligence, which focuses on designing algorithms to allow learning from large amounts of data without any human intervention.
ML in drug discovery
Although ML is not a new field, we’ve seen an increased interest in the application of ML in the healthcare, including diagnostics and drug discovery. The reasons for this are several fold: from the availability of larger datasets to increased compute power and algorithmic advances to massive investments on ML from different industries, as well as a push for the adoption and use of open source code and tools.
What is WEKA?
WEKA is a tool-box for development of machine learning models and visualisation of scientific data. It provides a variety of machine learning algorithms for various learning tasks including classification, regression, and clustering. The user-friendly interface makes developing machine learning models more efficient without prior programming experience.