Mining large negative correlations for high-dimensional contrasting analysis. Negative correlations are widely embedded in real life applications, but in-depth research has rarely been conducted due to its high level of complexity. This project aims at efficient algorithms and frontier theory for finding large negative correlations, to enable smart information use in bioinformatics to promote Australia's leading role in data mining research.
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
Multiscale integration of imaging and omics data. This project aims to integrate multiscale imaging and molecular data to characterise disease in patients. Modern healthcare needs to embrace ‘big (health) data’s potential to address an ageing population’s increasing healthcare demands and the inefficiencies and waste in patient treatment. This project expects to pioneer basic science research in methodologies to integrate, correlate and then derive knowledge from multi-scale data, to characteris ....Multiscale integration of imaging and omics data. This project aims to integrate multiscale imaging and molecular data to characterise disease in patients. Modern healthcare needs to embrace ‘big (health) data’s potential to address an ageing population’s increasing healthcare demands and the inefficiencies and waste in patient treatment. This project expects to pioneer basic science research in methodologies to integrate, correlate and then derive knowledge from multi-scale data, to characterise the mechanisms of disease in individual patients, in space and time. Its integrated model is expected to form the basis of a framework for individualised patient disease analysis.Read moreRead less
Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100150
Funder
Australian Research Council
Funding Amount
$500,000.00
Summary
Beyond Proteomics: structure and function of protein modifications. The world's leading cancer therapeutics have come from the protein phosphorylation field, and glycomics has led to drugs that combat the flu and that stimulate red blood cell production in cancer patients. Thus there is a bright future for discovery of new medicines based on new knowledge in this area. Protein modifications are key to the understanding of disease mechanisms and for searching for new disease markers and new the ....Beyond Proteomics: structure and function of protein modifications. The world's leading cancer therapeutics have come from the protein phosphorylation field, and glycomics has led to drugs that combat the flu and that stimulate red blood cell production in cancer patients. Thus there is a bright future for discovery of new medicines based on new knowledge in this area. Protein modifications are key to the understanding of disease mechanisms and for searching for new disease markers and new therapeutics. In the hands of local experts the instruments will enable identification of these modifications and provide improved understanding of biology, increase the national competitiveness of Australia's scientists, and provide advanced technology training to the next generation of scientists.Read moreRead less