Visit main University website

Sydney Precision Data Science Centre

Sydney Precision Data Science Centre

Sydney Precision Data Science Centre

Events Search and Views Navigation

Event Views Navigation

Today

Vitessce framework for interactive visualization of single-cell data and its applications

Mark Keller, PhD student in the Bioinformatics and Integrative Genomics program at Harvard Medical School This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 We introduce Vitessce to address the need for a scalable, interactive, and extensible framework that supports visualization of spatial and multimodal single-cell data. Its modular architecture, compatibility with multiple file formats, and support […]

Spatially resolved mapping of cells associated with human complex traits

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 […]

RNA polymerase II at histone genes predicts outcome in human cancer

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 […]

Revisiting quality control, normalisation, and spatially variable gene calling in CosMx WTx

Dr Dharmesh D Bhuva, NHMRC Emerging Leadership Fellow (EL1), Frazer Institute, The University of Queensland This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Spatially resolved molecular measurements have revolutionised the study of disease systems, providing an unprecedented resolution and throughput of molecular measurements. The opportunity posed by such data requires a new set of tools […]

Incorporating experimental medicine into single-cell multi-omics

Mackenzie Room, Level 6, Charles Perkins Centre, University of Sydney Johns Hopkins Drive, University of Sydney, NSW, Australia

Special Statistical Bioinformatics Seminar Dr Jacqueline Siu, Kennedy Institute of Rheumatology, University of Oxford About the seminar: Coordinated global efforts to create a comprehensive map of the human body using single-cell technologies has opened up avenues in computational biology and AI. However, there remains a pressing need to increase the data diversity from the ancestral […]

Veridical data science and alignment in medical AI

Lecture Theatre 173, Carslaw Building (F07.01.173)

Professor Bin Yu, Statistics, EECS, Center for Computational Biology, Simons Institute for the Theory of Computing, UC Berkeley About the seminar Alignment and trust are crucial for the successful integration of AI in healthcare including digital twin projects, a field involving diverse stakeholders such as medical personnel, patients, administrators, public health officials, and taxpayers, all […]