Website
http://dataportal.arc.gov.au/NCGP/API/grants/DE200100200
Funding Status
Active
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Funded Activity Summary
Next generation causal inference methods for biological data. This project aims to develop next generation causal inference methods for analysing biological data especially the single cell sequencing data and their applications in cell biology. Although Artificial Intelligence and Statistical Machine Learning have been applied successfully in many fields, including biological research, there is still a serious lack of methods for interpreting and reasoning about the mechanism of biological systems, the ultimate goal of research in many areas. Efficient data-driven causality discovery approaches developed by the project will be a timely and significant contribution to the knowledge of biology and statistics as well as the battle against health threats.Funded Activity Details
Start Date: 2020
End Date: 12-2023
Funding Scheme: Discovery Early Career Researcher Award
Funding Amount: $418,398.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Applied Statistics | Statistics |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences
