Toward a cell-type-specific understanding of complex diseases
Statistical Bioinformatics Seminar
Dr Boxiang Liu, National University of Singapore
5 events found.
Postponed Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits
Dr Siming Zhao, Assistant Professor of Biomedical Data Science, Dartmouth Giesel School of Medicine This is an online event held via Zoom: https://uni-sydney.zoom.us/j/85114748391 Many methods have been developed to leverage expression quantitative trait loci (eQTL) data to nominate candidate genes from genome-wide association studies. These methods, including colocalization, transcriptome-wide association studies (TWAS) and Mendelian randomization-based methods; […]
BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
Statistical Bioinformatics SeminarDr Vipul Singhal, Head of Computational Biology, Integrated Biosciences, Inc A core property of solid tissue is the spatial arrangement of cell types into stereotypical spatial patterns. These cells can be investigated with spatial omics technologies to reveal both their omics features (transcriptomes, proteomes, etc), and their spatial coordinates. Because a cell’s state […]
Data Analysis for Precision Health Micro-credential
This course provides essential statistical skills to analyse and interpret vast health and medical data, transforming it into actionable insights. As we enter the data revolution, the scale and accessibility of health and medical data has reached unprecedented levels creating a growing need for expertise in extracting insights from this data. This course will provide […]
$660
Australian Data Science Network Conference 2025
DETAILS
November 10-12
ORGANISERS
Charles Perkins Centre
University of Sydney
ORGANISERS
Australian Data Science Network
University of Sydney
$400