Title |
An adaptive association test for microbiome data
|
---|---|
Published in |
Genome Medicine, May 2016
|
DOI | 10.1186/s13073-016-0302-3 |
Pubmed ID | |
Authors |
Chong Wu, Jun Chen, Junghi Kim, Wei Pan |
Abstract |
There is increasing interest in investigating how the compositions of microbial communities are associated with human health and disease. Although existing methods have identified many associations, a proper choice of a phylogenetic distance is critical for the power of these methods. To assess an overall association between the composition of a microbial community and an outcome of interest, we present a novel multivariate testing method called aMiSPU, that is joint and highly adaptive over all observed taxa and thus high powered across various scenarios, alleviating the issue with the choice of a phylogenetic distance. Our simulations and real-data analyses demonstrated that the aMiSPU test was often more powerful than several competing methods while correctly controlling type I error rates. The R package MiSPU is available at https://github.com/ChongWu-Biostat/MiSPU and CRAN. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 5 | 24% |
United Kingdom | 2 | 10% |
Spain | 2 | 10% |
China | 1 | 5% |
Austria | 1 | 5% |
Canada | 1 | 5% |
Unknown | 9 | 43% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 10 | 48% |
Members of the public | 10 | 48% |
Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Germany | 1 | 1% |
India | 1 | 1% |
Brazil | 1 | 1% |
Japan | 1 | 1% |
Canada | 1 | 1% |
Unknown | 85 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 27% |
Researcher | 19 | 20% |
Student > Master | 13 | 14% |
Other | 6 | 6% |
Student > Doctoral Student | 6 | 6% |
Other | 14 | 15% |
Unknown | 10 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 25 | 27% |
Biochemistry, Genetics and Molecular Biology | 15 | 16% |
Computer Science | 12 | 13% |
Mathematics | 9 | 10% |
Medicine and Dentistry | 6 | 6% |
Other | 12 | 13% |
Unknown | 14 | 15% |