The main goal of this project is to develop methods of analysis and software implementations for gene expression data, proteomics data, and metabolomics data that are informed by research on the statistical characteristics of the data that are to be analyzed. The principles guiding this methods-development project include the following: 1) high-throughput assay data require transformation so that measurements can be treated in the same fashion across the full range; 2) linear statistical models provide a powerful class of methods that are often sufficient to address the real biological problems at issue (though nonlinear models should be available when required); 3) statistical tests should use appropriate comparison standards so that the tests achieve the highest power consistent with preventing excessive false positives. Under this proposal, we will continue the development of methods and software for gene expression data, and carry over the methods to the analysis of proteomics and metabolomics data by mass spectrometry and NMR spectroscopy. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project (R01)
Project #
1R01HG003352-01A2
Application #
7027989
Study Section
Biodata Management and Analysis Study Section (BDMA)
Program Officer
Good, Peter J
Project Start
2006-06-01
Project End
2009-03-31
Budget Start
2006-06-01
Budget End
2007-03-31
Support Year
1
Fiscal Year
2006
Total Cost
$225,000
Indirect Cost
Name
University of California Davis
Department
Miscellaneous
Type
Schools of Engineering
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
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