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

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