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The data were implemented with expression probe set summarizing data.
Classification models based on gene expression data were implemented with Weka [ 34].
Procedures testing for problematic multicollinearity and outliers in the data were implemented, with no evidence of either.
The complete and pairwise deletion of gaps or missing data were implemented with the datasets containing 49,751 and 104,097 positions, respectively.
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To demonstrate the superiority of the proposed model's discrimination with other similar models, problem data was implemented with 5 inputs and 5 outputs once using the GAM software for model (11).
The simulation of the pedigree and recalculation of LRS data was implemented with a purpose-specific programme coded in MATLAB (MathWorks), with animal model analyses implemented in AsReml (VSN International) as described above.
Microarray data analyses were implemented with the limma package (MEV platform, v4.9.0) [ 29, 30].
Stimulus presentation and behavioral data collection were implemented with E-Prime software (Psychology Software Tools, Pittsburgh, PA).
All our data simulations and analyses were implemented with statistical package R [35] except for WTSM (implemented by PLINK [40]).
Since the original representative methods were implemented with different data sets, it is unfair to directly compare them with our method.
The algorithm described above for calculating optimal superpositions with missing data is implemented in the command-line UNIX program THESEUS (Theobald and Wuttke, 2006a, b).
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