Overview

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Academic contacts

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Offerings

MURDOCH-S2-INT-2021-ONGOING

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Enrolment rules

Enrolment in Master of Systems Medicine (Research), Graduate Certificate in Systems Medicine, Graduate Diploma in Systems Medicine.

Other learning activities

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Learning activities

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Learning outcomes

1.

Enrolment in Master of Systems Medicine (Research), Graduate Certificate in Systems Medicine, Graduate Diploma in Systems Medicine.

2.

Develop the specialised technical skills and able to pre-process different omics datasets

3.

Justify the scientific decision-making with respect to study design and able to justify appropriate application of data analysis techniques

Assessments

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Additional information

Unit content:

This course aims to provide a comprehensive understanding of the specific considerations of different data analysis techniques commonly applied to omics science. Data analysis techniques covered in this unit are:
Unsupervised linear projection methods (e.g. principal component analysis), and clustering (e.g. hierarchical clustering analysis) techniques. Supervised techniques that use discriminant (e.g. orthogonal partial least square analysis and neural
network analysis) and regression (linear and non-linear) approaches. This unit also explains basic data visualisation methods for interpreting the significance of the patterns observed within various omics data; and approaches for determining the validity of diagnostic and prognostic models.