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Activity Number: 63
Type: Contributed
Date/Time: Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
Sponsor: Biometrics Section
Abstract - #310186
Title: Estimating Absolute Transcript Concentration for Microarrays Using Langmuir Adsorption Theory
Author(s): Min Mo*+
Companies: University of Texas at Arlington
Address: , Arlington, TX, 76019,
Keywords: Langmuir adsorption model ; Absolute transcript concentration ; Microarray ; Spike-in genes
Abstract:

The estimation of absolute transcript concentrations might be obtained by finding the estimations of Langmuir parameters. We investigate the possibility of using the spike-in genes found on commercial microarrays, along with an assumed log-linear model for the Langmuir parameters in terms of the spike-in probe sequence features, to estimate the assumed-invariant model coefficients. These estimated coefficients are then used, along with the probe sequence features of the target probes, to estimate the Langmuir parameters for each target probe. Finally, these estimated Langmuir parameters are combined with the expression measurements to produce estimates of the absolute transcript concentrations. The performance of this method will depend on the extent of this extrapolation. Simulation results will be presented to describe the performance of the method.


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Revised September, 2007