Online Resource

Networks

A practical introduction to network science for data-rich bioscience and medical applications. Learners explore graphs and network representations of complex systems, network measures and quantification, and network visualisation. The module focuses on applying network analysis techniques to real-world case studies, with an emphasis on interpreting results in a research context.

Keywords: data summarisation, data visualisation, machine learning, python, statistics

Target audience: Postgraduate researcher, Postgraduate student, Researcher, Clinician, Research Software Engineer, Bioinformatician, Research skills educator

Resource type: Online Resource

Version: 2025.1

Authors: scryptIQ


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