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Activity Number:
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464
- Novel Approaches for Complex Biomedical Data
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Type:
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Contributed
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Date/Time:
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Thursday, August 6, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #313517
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Title:
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A Modified Sam-T Test Statistic for Differential Expression
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Author(s):
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Sherwin Cedeno* and Isaac Dialsingh
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Companies:
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The University of the West Indies and The University of the West Indies
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Keywords:
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Differential Expression;
Significance Analysis of Microarrays;
Modified SAM;
Neuhäuser’s test;
proportion of null hypothesis;
Welsh's Test
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Abstract:
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Many statistical tests exist for the identification of genes that are differentially expressed. A variant of the SAM-t test statistic is derived and we compared this via simulations with existing tests. Our variant uses a cluster specific value of the tuning parameter rather than a universal tuning parameter for so in the SAM-t. Our test statistic’s performance is compared with competing tests such as Welsh’s and the Neuhäuser’s test under simulated data with varying configurations of pi0. We also devise a method for estimating pi0 based on the modified SAM-t test statistic. Our method is applied to a real dataset.
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Authors who are presenting talks have a * after their name.
