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 […]

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

Statistical Bioinformatics Seminar
Dr Luca Pinello, Harvard Medical School

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 […]

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 […]