title: Detecting epistatic interactions in metagenome-wide association studies by metaBOOST.
abstract: 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
  Finally, we conclude our method and discuss some possible improvements for the future.
authors.affiliation: MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST, Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Mengmeng
authors.initials: M
authors.lastname: Wu
authors.affiliation: MOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & Systems Biology, TNLIST, Department of Automation, Tsinghua University, Beijing 100084, China.
authors.forename: Rui
authors.identifier: 0000-0002-7533-3753
authors.initials: R
authors.lastname: Jiang
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D004843:Epistasis, Genetic; D020022:Genetic Predisposition to Disease; D055106:Genome-Wide Association Study; D006801:Humans; D054892:Metagenome / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide