BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
Statistical Bioinformatics Seminar
Dr Vipul Singhal, Integrated Biosciences
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Vitessce framework for interactive visualization of single-cell data and its applications
Statistical Bioinformatics Seminar
Mark Keller, Harvard Medical School -
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Spatially resolved mapping of cells associated with human complex traits
Statistical Bioinformatics Seminar
Liyang Song, Westlake University -
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 […]