Large Models for Single-Cell Omics and Drug Discovery: Data, Pretraining, and Closed-Loop Environment
Statistical Bioinformatics Seminar
Dr Haotian Cui, University of Toronto
12 events found.
A Systematic Comparison of Single-Cell Perturbation Response Prediction Models
Statistical Bioinformatics Seminar
Dr Yue You, Guangzhou National Laboratory
The secret sauce – building insights from integrated atlas of human biology
Mackenzie Room, Level 6, Charles Perkins Centre, University of Sydney Johns Hopkins Drive, University of Sydney, Sydney, AustraliaJudith and David Coffey Seminar
Prof Christine Wells, University of Melbourne
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
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
Spatial and Functional Analysis of the Mammalian Brain
Statistical Bioinformatics Seminar
Dr Rongxin Fang, Stanford University
From benchtop to bedside: advancing multi-omics statistical methods for precision medicine
Statistical Bioinformatics Seminar
Andy Tran, University of Sydney
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
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
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
Statistical Bioinformatics Seminar
Liyang Song, Westlake University