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The sample generated for analysis in our study included a total of 1178 individuals.
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In our model, each task has the same structure and shares the same set of convolutional features, but is trained using different random samples generated for different tasks.
The empirical CV, denoted as CV e, was computed from the samples generated for various values of β,m and n.
The observed R.I. and the Bootstrap standard errors are computed using 500 random samples generated for the simple regression model (Guan, [2003]).
The amount of samples generated for such comparisons ranges from few replicates to hundreds of samples per condition for epigenome-wide association studies.
A set of standard curve with a duplicate set of QC samples was generated for sample analysis.
A set of standard curves with a duplicate set of quality control (QC) samples was generated for sample analysis.
A ChIP sample and a control sample were generated for each experiment.
miRNA expression profiles for each sample were generated for comparison by normalizing with the total number of miRNAs.
Using the same method, the second and third sample was generated for myocardial infarction and congestive heart failure.
Random samples were generated for all addresses within our study areas and every address in the random sample was approached.
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