Detecting Epistatic Interactions in Metagenome-Wide Association Studies by metaBOOST | Zendy

Mengmeng Wu | Zendy; Rui Jiang | Zendy

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Detecting Epistatic Interactions in Metagenome-Wide Association Studies by metaBOOST

Author(s) -

Mengmeng Wu,

Rui Jiang

Publication year - 2014

Publication title -

biomed research international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.772

H-Index - 126

eISSN - 2314-6141

pISSN - 2314-6133

DOI - 10.1155/2014/398147

Subject(s) - metagenomics , epistasis , computer science , computational biology , data mining , precision and recall , recall , data science , machine learning , biology , genetics , gene , psychology , cognitive psychology

Material and Methods. We recall the definition of epistasis and extend it for metagenomic biomarkers and then we describe the overview of our method metaBOOST and provide detailed information about each step of metaBOOST. Results. We describe the data sources for both simulation studies and real metagenomic datasets. Then, we describe the procedure of simulation studies and provide results for it. After that, we conduct real datasets studies and report the results. Conclusions and Discussion. Finally, we conclude our method and discuss some possible improvements for the future.

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