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Research Topic : Statistics
Field of Research : Gene Expression
Status : Closed
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  • Funded Activity

    Discovery Projects - Grant ID: DP0770395

    Funder
    Australian Research Council
    Funding Amount
    $255,000.00
    Summary
    Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provi .... Statistical methods and tools for integrative microarray analysis. Tools used for biological and medical research have been evolving and there has been an increase in high-throughput technologies such as genome sequencing and DNA microarray. The growing number of entries and the increasing availability of public microarray repositories and other sequence databases have generated the new challenge of developing tools to efficiently integrate data by different research groups. This research provides new statistical methods to integrate different data sets. Its application in the biomedical field will allow researchers to effectively interpret the myriad of data generated within the community.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344970

    Funder
    Australian Research Council
    Funding Amount
    $126,900.00
    Summary
    Classification of Microarray Gene-Expression Data. The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of .... Classification of Microarray Gene-Expression Data. The broad aim is to provide statistical methodology for the classification of microarray gene-expression data. Microarrays are part of a new biotechnology that allows the monitoring of expression levels for thousands of genes simultaneously. The explosion in microarrays has produced massive quantities of data that require new statistical techniques for analysis in order to exploit their enormous scientific potential. One of the main uses of the methodology to be developed is to expedite the discovery of new subclasses of diseases. Another is to provide prediction rules for the diagnosis and treatment of diseases.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347344

    Funder
    Australian Research Council
    Funding Amount
    $250,889.00
    Summary
    Bayesian methodology for analysis of genome data with focus on the livestock industry. The aim is to develop statistical methods for the design and analysis of genome data with focus on the special needs of the livestock industry. This will significantly contribute to profitability, quality, genetic improvement and genetic knowledge in a key national industry, improve Australia's international and national profile in the key research area of bioinformatics, and encourage optimisation of current .... Bayesian methodology for analysis of genome data with focus on the livestock industry. The aim is to develop statistical methods for the design and analysis of genome data with focus on the special needs of the livestock industry. This will significantly contribute to profitability, quality, genetic improvement and genetic knowledge in a key national industry, improve Australia's international and national profile in the key research area of bioinformatics, and encourage optimisation of current information. Outcomes include a toolkit of applicable statistical methods, statistically valid algorithms, marketable methods for gene discovery, technology transfer, training and publications.
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    Funded Activity

    Statistical Issues In Microarray Data Analysis

    Funder
    National Health and Medical Research Council
    Funding Amount
    $265,500.00
    Summary
    Microarrays are a new technology for measuring the relative expression levels of thousands of genes simultaneously. They allow medical researchers to take a genome-wide look at which genes are active in a particular tissue type in an organism at a particular time. Many biomedical and biological research groups in Australia have recently untaken microarray experiments for the first time or are planning microarray experiments in the near future. Microarray experiments produce massive amounts of in .... Microarrays are a new technology for measuring the relative expression levels of thousands of genes simultaneously. They allow medical researchers to take a genome-wide look at which genes are active in a particular tissue type in an organism at a particular time. Many biomedical and biological research groups in Australia have recently untaken microarray experiments for the first time or are planning microarray experiments in the near future. Microarray experiments produce massive amounts of information and the study of how to extract this information is still in a fledgling state. This project will solve a number of fundamental problems in microarray data analysis. The emphasis is not on special methods of down-stream analysis but on basic issues which are common to all microarray experiments. The project will determine how tissue samples from different organisms should be combined in complex experiments. It will develop methods for evaluating the quality of results from microarray experiments. It will make microarray analysis less sensitive to production artifacts. It will make novel use of serial analysis of gene expression (SAGE), a more accurate but more expensive and less available technology, to calibrate the results of microarray experiments. The results will be applied during the lifetime of the project to a number of experiments at the Walter and Eliza Hall Institute and the University of Melbourne on blood cell development, cell growth and proliferation, resistance to malaria and leishmaniasis parasites, and Down syndrome.
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