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TWO APPLICATIONS OF PERMUTATION TESTS IN BIOSTASTICS.
Luis León-Novelo1, Kaisa M Kemppainen2, Alexandria Ardissone3
1Department of Mathematics, University of Louisiana at Lafayette , Lafayette, LA, USA luis@louisina.edu.
Boletin De La Sociedad Matematica Mexicana
|September 16, 2014
Summary
This study uses simple permutation tests to analyze gene abundance data for biological questions. These methods help compare gut bacterial biodiversity in Type 1 Diabetes studies.
Area of Science:
- Microbiology
- Genetics
- Biostatistics
Background:
- Gut bacterial biodiversity is crucial in Type 1 Diabetes.
- Understanding microbial communities aids in diabetes research.
Purpose of the Study:
- To demonstrate converting biological questions into statistical hypothesis testing problems.
- To present statistical methods for analyzing gene abundance data in Type 1 Diabetes research.
Main Methods:
- Application of permutation tests for hypothesis testing.
- Analysis of gene abundance data from Type 1 Diabetes studies.
Main Results:
- Permutation tests provide a straightforward yet powerful approach for biological data analysis.
- The methods were applied to compare gut bacterial biodiversity in different cohorts.
Conclusions:
- Statistical hypothesis testing, particularly permutation tests, is effective for answering biological questions.
- The presented methods offer a detailed statistical approach for microbiome research in Type 1 Diabetes.
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