From benchtop to bedside: advancing multi-omics statistical methods for precision medicine
Statistical Bioinformatics Seminar
Andy Tran, University of Sydney
This event is being held in person and online.
12 events found.
BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
Statistical Bioinformatics Seminar
Dr Vipul Singhal, Integrated Biosciences
Vitessce framework for interactive visualization of single-cell data and its applications
Statistical Bioinformatics Seminar
Mark Keller, Harvard Medical School
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 […]
Toward a cell-type-specific understanding of complex diseases
Statistical Bioinformatics Seminar
Dr Boxiang Liu, National University of Singapore
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 […]
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
Computational Approaches in Functional Genomics: Understanding Gene Regulation and Development
Statistical Bioinformatics Seminar
Dr Luca Pinello, Harvard Medical School