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Two basic datasets were generated to compare three methods on signals with known properties.
For each scenario, 1000 simulated datasets were generated to estimate power or type I error rate.
10 reference datasets were generated to test for the hypothesis of age-dependent changes in the ratios of non-synonymous to synonymous or RNA to synonymous.
Two datasets were generated to infer phylogenetic relationships.
One hundred datasets were generated to determine the prediction performance of the methods.
Two additional simulated datasets were generated to assess the effect of polymorphisms and sequencing artifacts.
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First, the training and testing datasets are generated to test the SplitSSI-SVM.
Thus, when the heterozygote cluster is under represented, or completely absent (as is the case for inbred lines), the software cannot reliably identify cluster locations and boundaries, unless a large dataset is generated to "train" the algorithm.
The GC-TRFLP dataset was generated to examine the microbial community of grass rhizosphere soil [30].
The Golden Spike dataset was generated to address a dearth of controlled spike-in array datasets.
This dataset was generated to study gliomagenesis by analyzing a set of 50 human gliomas of various histogenesis (31).
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