There is an increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. In this package, we present a novel global testing method called aMiSPU, that is highly adaptive and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real data analysis demonstrated that aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates.
|Author||Chong Wu, Wei Pan|
|Date of publication||2016-03-18 00:08:39|
|Maintainer||Chong Wu <firstname.lastname@example.org>|
correspLeaves: Finding the correspondence OTUs for each taxa
dd: The estimate of Dirichlet-multinomial distribution
Dirichlet: The Dirichlet Distribution
GUniFrac: Generalized UniFrac distances for comparing microbial...
MiSPU: microbiome based sum of powered score (MiSPU)
MiSPU-package: Microbiome Based Sum of Powered Score (MiSPU) Tests
ranking: ranking the OTUs
simulateData: OTU counts simulation
throat.meta: Meta data of the throat microbiome samples.
throat.otu.tab: OTU count table from 16S sequencing of the throat microbiome...
throat.tree: UPGMA tree of the OTUs from 16S sequencing of the throat...