| Summary: | This research identifies subtypes of bipolar patients using gene expression data and
uncovers their underlying biological themes. This sheds some light on the variation
within bipolar disorder and contributes to customised treatment of patients. This
research has three parts: reducing the dimensionality of the data (F-test and
Principal Component Analysis), identification of the subtypes (K-means clustering),
and analysing the biological themes underlying the subtypes (Gene Set Enrichment
Analysis and Gene Ontology Analysis). The results show that mitochondrial
dysregulation, telomere-related processes, and telomerase RNA localisation to Cajal
bodies drive the differences between subtypes. Future researchers might want to
further investigate each theme.
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