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
12 events found.
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
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
Revisiting quality control, normalisation, and spatially variable gene calling in CosMx WTx
Statistical Bioinformatics Seminar
Dr Dharmesh Bhuva, University of Queensland