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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).
This dataset was generated to investigate the effects of FAM33A RNAi knockdown on the gene expression profile in a lung carcinoma cell line[ 30].
For comparative purposes, an artificial dataset was generated to demonstrate the case in which technical noise was the primary cause of the observed data variation.
To analyse the data, a discrete dataset was generated to represent this continuous variable of time intervals, i.e. time interval data was grouped into a discrete set of numbered groups (termed 'bins'bins
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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.
First, the training and testing datasets are generated to test the SplitSSI-SVM.
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.
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