Liyang Song, PhD student, Westlake University This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Depicting spatial distributions of disease-relevant cells is crucial for understanding disease pathology. In our recent work, we developed a method, gsMap, that integrates spatial transcriptomics (ST) data with genome-wide association study (GWAS) summary statistics to map cells to human complex traits, including […]

Statistical Bioinformatics SeminarDr Vipul Singhal, Head of Computational Biology, Integrated Biosciences, Inc A core property of solid tissue is the spatial arrangement of cell types into stereotypical spatial patterns. These cells can be investigated with spatial omics technologies to reveal both their omics features (transcriptomes, proteomes, etc), and their spatial coordinates. Because a cell’s state […]

This course provides essential statistical skills to analyse and interpret vast health and medical data, transforming it into actionable insights. As we enter the data revolution, the scale and accessibility of health and medical data has reached unprecedented levels creating a growing need for expertise in extracting insights from this data. This course will provide […]