Spatially resolved mapping of cells associated with human complex traits
Statistical Bioinformatics Seminar
Liyang Song, Westlake University
12 events found.
Vitessce framework for interactive visualization of single-cell data and its applications
Statistical Bioinformatics Seminar
Mark Keller, Harvard Medical School
BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
Statistical Bioinformatics Seminar
Dr Vipul Singhal, Integrated Biosciences
The 7TM family: are template-based models better than AlphaFold models?
Mackenzie Room, Level 6, Charles Perkins Centre, University of Sydney Johns Hopkins Drive, University of Sydney, Sydney, AustraliaJudith and David Coffey Seminar
Prof Shoba Ranganathan, Macquarie University
Systems or sub-systems biology? Which can best help us understand the cell?
Mackenzie Room, Level 6, Charles Perkins Centre, University of Sydney Johns Hopkins Drive, University of Sydney, NSW, AustraliaJudith and David Coffey Seminar
Prof Marc Wilkins, UNSW
From benchtop to bedside: advancing multi-omics statistical methods for precision medicine
Statistical Bioinformatics Seminar
Andy Tran, University of Sydney
Spatial and Functional Analysis of the Mammalian Brain
Statistical Bioinformatics Seminar
Dr Rongxin Fang, Stanford University
TenK10K multiome initiative : Genetic regulation of cell-type–specific chromatin accessibility shapes immune function and disease risk
Statistical Bioinformatics Seminar
Dr Angli Xue, Garvan Institute of Medical Research
The lazy way of pathological images analysis in the era of large models
Statistical Bioinformatics Seminar
Dr Yimin Zheng, CeMM Research Center for Molecular Medicine
Bifidobacteria support optimal infant vaccine responses
Statistical Bioinformatics Seminar
Dr Feargal J. Ryan, Flinders University
Australian Data Science Network Conference 2025
DETAILS
November 10-12
ORGANISERS
Charles Perkins Centre
University of Sydney
Australian Data Science Network
$400
Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits
Statistical Bioinformatics Seminar
Dr Siming Zhao, Dartmouth Giesel School of Medicine