JSM 2005 Online Program

Abstract #304118

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Activity Number:	200
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #304118
Title:	The Distribution of the Product of Correlated P-values and Its Application to Sequence Homology Searches
Author(s):	Yan Xie*+ and Richard Kryscio
Companies:	University of Kentucky and University of Kentucky
Address:	Departments of Statistics and Biostatistics, 4070 Victoria Way Apt 34, Lexington, KY, 40515, United States
Keywords:	Family Pairwise Search ; POP algorithm ; Satterthwaite's approximation
Abstract:	The function of an unknown sequence often can be inferred by identifying sequences analogous to the original sequence. A Family Pairwise Search (FPS) often is employed for such a purpose. To perform the search, first a representative set of sequences from a family is constructed and then the query sequence is compared to each sequence in the set by computing a P-value. The resulting P-values are then combined into an overall score for that query. One such method for combining P-values is the POP algorithm based on the product of the P-values. This algorithm uses an approximate formula for the distribution of the product of these P-values on which to base the decision about the homology. In this paper, we investigate the use of Satterthwaite's approximation to estimate the distribution of the product of these p-values (correlated uniform variables). According to our simulation results, Satterthwaite's approximation is more accurate than POP in computing the distribution of the product of these P-values. We also compare these two methods using classification performance.

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