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 […]

Statistical Bioinformatics Seminar
Andy Tran, University of Sydney

This event is being held in person and online.

Statistical Bioinformatics Seminar
Dr Vipul Singhal, Integrated Biosciences

Statistical Bioinformatics Seminar
Mark Keller, Harvard Medical School

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 […]

Dr Ye Zheng, University of Texas MD Anderson Cancer Center This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Genome-wide hypertranscription is common in human cancer and predicts poor prognosis. To understand how hypertranscription might drive cancer, we applied our formalin-fixed paraffin-embedded (FFPE)–cleavage under targeted accessible chromatin method for mapping RNA polymerase II (RNAPII) genome-wide in FFPE […]

Statistical Bioinformatics Seminar
Dr Boxiang Liu, National University of Singapore

Statistical Bioinformatics Seminar
Dr Guillaume Jaume, Harvard Medical School

Statistical Bioinformatics Seminar
Dr Gladys Poon, HKU

Statistical Bioinformatics Seminar
Dr Ming Yang, HKUST

Statistical Bioinformatics Seminar
Dr Xiaomeng Wan, HKUST