Bioinformatics Seminar
Time: 11AM
Venue: Hybrid
20 June 2023
Comparing immunostained tumour images for two or more patient groups using K functions
Jack HywoodRoyal Melbourne Hospital
The tumour microenvironment, and in particular the dynamics between tumour cells and immune cells, has increasingly been shown to contain prognostic and potentially predictive information relevant to patient care. A common technique for analysing the tumour microenvironment is the use of multiplex immunostaining, in which multiple protein antigens are detected simultaneously within a single area of tissue. This allows for accurate localisation and phenotyping of the imaged cells. There is increasing need to develop statistical techniques for the analysis of this type of data. We consider here the case of two patient groups (e.g. two groups with different types of cancer). We present an approach for comparing these groups using a novel combination of spatial statistics and functional data analysis.