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US 2006/0141489 A1Published application
Method of statistical genomic analysis
OwnerDavid Allison, Grier Pageinventors
Life of this patent
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Abstract
A method of design and analysis of microarray studies has been developed. The method includes classification of the microarrays; measurement of the reliability and validity of expression measurements; estimation of the effect of an experimental manipulation on gene expression; design of a statistical analysis to determine the distinction between biological significance and statistical significance; and inference of conclusions about effects or associations in populations from information obtained on samples.
Claims19
A method for statistical genomic analysis, comprising:
- designing a study of a microarray chips of genomic material that utilizes multi-stage testing;
- normalizing a measurement of data received from the study;
- estimating an experimental error of the measurement of data with an error estimator (θi) for the ith gene is {hacek over (θ)}i=(1−Bi){circumflex over (θ)}i+Bi{tilde over (θ)}i, where Bi=((k−r−2)/ (k−r))Si/(Si+Â), where k is the number of genes, where r is the number of predictor variables, and where Si is the variance of the ith gene;
- and
- inferring conclusions about the expression of the microarray chips of genomic material from the data received from the study based on the calculation of the probability (Xi) that a difference between groups during an experiment happened by chance, where the probability density function for Xi is
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- where v is a mixture of beta distributions with parameters rj and sj, j=1 . . . v, and
- where B(rj, sj)=, ∫01urj−1(1−u)sj−1du.
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Dependencies are inferred from the claim text.