Discovery Early Career Researcher Award - Grant ID: DE200100944

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE200100944

Funding Status
Active

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Funded Activity Summary

Statistical frameworks for high-parameter imaging cytometry data. The project aims to develop statistical and bioinformatics methodology for characterising the complex interactions between cells in their native environment. Recent advances in imaging cytometry technologies have made it possible to observe the behaviour of multiple cell-types in tissue concurrently. The intended outcome is a suite of statistical methodologies that are crucial for addressing a variety of biological problems with these state-of-the-art technologies. This work will advance knowledge in bioinformatics, statistics and image analysis, providing benefits to scientists studying the fundamental behaviour of cells and underlying disease mechanisms.

Funded Activity Details

Start Date: 13-01-2020

End Date: 31-12-2023

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $427,068.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Cellular Interactions (incl. Adhesion, Matrix, Cell Wall) | Statistics | Bioinformatics |

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences

Other Keywords

Applied Statistics | Bioinformatics | Cellular Interactions (incl. Adhesion, Matrix, Cell Wall) | Expanding Knowledge in the Biological Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences | Statistics

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