Spatially resolved mapping of cells associated with human complex traits
Statistical Bioinformatics Seminar
Liyang Song, Westlake University
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RNA polymerase II at histone genes predicts outcome in human cancer
Statistical Bioinformatics Seminar
Dr Ye Zheng, University of Texas MD Anderson Cancer Center -
Toward a cell-type-specific understanding of complex diseases
Statistical Bioinformatics Seminar
Dr Boxiang Liu, National University of Singapore -
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Revisiting quality control, normalisation, and spatially variable gene calling in CosMx WTx
Statistical Bioinformatics Seminar
Dr Dharmesh Bhuva, University of Queensland -
Towards Generalist AI Models in Pathology: The Unique Role of Molecular Data
Statistical Bioinformatics Seminar
Dr Guillaume Jaume, Harvard Medical School -
Multi-state evolutionary model quantifies tumour cellular plasticity
Statistical Bioinformatics Seminar
Dr Gladys Poon, HKU -
Explaining the asynchrony of aging through cell population dynamics
Statistical Bioinformatics Seminar
Dr Ming Yang, HKUST -
Zero-Shot Foundation Model for a Universal Gene Expression Atlas of Human Tissue: Unveiling Clinically Relevant Cell States and Disease-Specific Spatial Niches
Statistical Bioinformatics Seminar
Dr Xiaomeng Wan, HKUST -
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Computational Approaches in Functional Genomics: Understanding Gene Regulation and Development
Statistical Bioinformatics Seminar
Dr Luca Pinello, Harvard Medical School -
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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, AustraliaSpecial 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 […]
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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 […]
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Indigenous Australian genomes show deep population structure and abundant novel variation
Special Judith and David Coffey Seminar Prof Stephen Leslie, The University of MelbourneAbstract: Without the inclusion of diverse genetic ancestries in reference resources, inequity in research and clinical practice risks being entrenched. A handful ethnicities have been the focus of genomic research to date, and Indigenous Australians are virtually absent from global reference panels and […]