Statistical methods for the analysis of spatial omics technologies. This project aims to develop bioinformatics methodology to analyse data generated by advanced spatial proteomic and transcriptomic t

Description

Statistical methods for the analysis of spatial omics technologies. This project aims to develop bioinformatics methodology to analyse data generated by advanced spatial proteomic and transcriptomic technologies, enabling deep characterisation of cells in their native tissue environment. This project expects to generate multiple quantitative frameworks essential for studying complex cell relationships with these technologies using an innovative combination of statistical and bioinformatics techniques. Expected outcomes of this project include an enhanced analytical capacity to understand how cells interact with each other and their surroundings. This should provide significant benefits by strengthening Australia’s research capabilities in spatial biology, bioinformatics, and data analysis.. Scheme: Discovery Projects. Field: 3102 - Bioinformatics and Computational Biology. Lead: A/Prof Ellis Patrick