## Table 2 |
||

The participants that submitted models for every endpoint (original and swap) in the
MAQC-II study, and the classification methods used |
||

Code |
Name |
Classification algorithm(s) used |

CAS |
Chinese Academy of Sciences | Naïve Bayes, Support Vector Machine |

CBC |
CapitalBio Corporation, China | k-Nearest Neighbor, Support Vector Machine |

Cornell |
Weill Medical College of Cornell University | Support Vector Machine |

FBK |
Fondazione Bruno Kessler, Italy | Discriminant Analysis, Support Vector Machine |

GeneGo |
GeneGo, Inc. | Discriminant Analysis, Random Forest |

GHI |
Golden Helix, Inc. | Classification Tree |

GSK |
GlaxoSmithKline | Naïve Bayes |

NCTR |
National Center for Toxicological Research, FDA | k-Nearest Neighbor, Naïve Bayes, Support Vector Machine |

NWU |
Northwestern University | k-Nearest Neighbor, Classification Tree, Support Vector Machine |

SAI |
Systems Analytics, Inc. | Discriminant Analysis, k-Nearest Neighbor, Machine Learning, Support Vector Machine, Logistic Regression |

SAS |
SAS Institute, Inc. | Classification Tree, Discriminant Analysis, Logistic Regression, Partial Least Squares, Support Vector Machine |

Tsinghua |
Tsinghua University, China | Classification Tree, k-Nearest Neighbor, Recursive Feature Elimination, Support Vector Machine |

UIUC |
University of Illinois, Urbana-Champaign | Classification Tree, k-Nearest Neighbor, Naïve Bayes, Support Vector Machine |

USM |
University of Southern Mississippi | Artificial Neural Network, Naïve Bayes, Sequential Minimal Optimization, Support Vector Machine |

ZJU |
Zejiang University, China | k-Nearest Neighbor, Nearest Centroid |

Magis and Price

Magis and Price *BMC Bioinformatics* 2012 **13**:227 doi:10.1186/1471-2105-13-227