title: TWO APPLICATIONS OF PERMUTATION TESTS IN BIOSTASTICS.
abstract: We show two examples of how we answer biological questions by converting them into statistical hypothesis testing problems. We consider gene abundance data, and apply permutation tests. Though these tests are simple, they allow us to test biologically relevant hypotheses. Here we present the analysis of data rising from two studies on Type 1 Diabetes. In the first study [3] are interested in comparing the gut bacterial biodiversity in children at risk and not at risk of developing diabetes. In the second study, [4] compare the gut bacterial biodiversity of children in six different sites in USA and Europe. The statistical analyses presented here are parts of the "statistical methods" in two papers mentioned above. Here we offer a detailed explanation of the "Statistical Methods" addressed to readers with a statistics background.
authors.affiliation: Department of Mathematics, University of Louisiana at Lafayette , Lafayette, LA, USA luis@louisina.edu.
authors.forename: Luis
authors.initials: L
authors.lastname: León-Novelo
authors.affiliation: Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida. Gainesville, FL, USA kkemppainen@ufl.edu.
authors.forename: Kaisa M
authors.initials: KM
authors.lastname: Kemppainen
authors.affiliation: Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida. Gainesville, FL, USA lexi88@ufl.edu.
authors.forename: Alexandria
authors.initials: A
authors.lastname: Ardissone
authors.affiliation: Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida. Gainesville, FL, USA adavisr@ufl.edu.
authors.forename: Austin
authors.initials: A
authors.lastname: Davis-Richardson
authors.affiliation: Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida. Gainesville, FL, USA jenn1eruth@ufl.edu.
authors.forename: Jennie
authors.initials: J
authors.lastname: Fagen
authors.affiliation: Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida. Gainesville, FL, USA ganokelsey@gmail.com.
authors.forename: Kelsey
authors.initials: K
authors.lastname: Gano
authors.affiliation: Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida. Gainesville, FL, USA ewt@ufl.edu.
authors.forename: Eric W
authors.initials: EW
authors.lastname: Triplett
keywords: Shannon diversity index; analysis of covariance; permutation test; type 1 diabetes; unifrac distance