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Activity Number:
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417
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309765 |
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Title:
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Nonparametric Quantification of Protein Lysate Arrays
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Author(s):
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Jianhua Hu*+
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Companies:
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The University of Texas M.D. Anderson Cancer Center
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Address:
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1515 Holcombe Boulevard, Houston, TX, 77030,
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Keywords:
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Cobs ; logistic modeling ; nonparametric quantification ; protein lysate array
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Abstract:
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Proteins play a crucial role in biological activity, so much can be learned from measuring protein expression directly. The Reverse-phase protein lysate arrays allow us to quantify the relative expression levels of a protein in many different cellular samples simultaneously. Existing approaches to quantify protein arrays use parametric response curves fit to dilution series data. The results can be biased when the parametric function does not fit the data. It is difficult to model all the samples and proteins with a convenient parametric response curve. We propose a nonparametric approach which adapts to any monotone response curve. The nonparametric approach is shown to be promising via both simulation and real data studies. The nonparametric approach enables more reliable quantification of protein lysate arrays.
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