Exact(4)
Stratifying samples in order to maintain similar proportions of normal and abnormal patients in train and test sets has been shown to reduce cross-validation bias [15] and so was also adopted in this study.
Introducing such a combination of reference panels, which achieve very large sample sizes of sequencing reference sets, has been shown to improve imputation accuracy [ 31– 31].
This limitation needs to be considered in any gene expression data interpretation, but genome wide transcriptome analysis for gene sets has been shown to start to address this issue [ 53].
The combination of these statistical tools with microarray and expressed sequence tags (EST) data sets has been shown to be a valuable source of internal control genes for real-time RT-PCR experiments, providing a new generation of reference genes with very stable expression levels that outperform the classical housekeeping genes [ 23, 27, 29].
Similar(55)
However, such primer sets have been shown to be useful for the amplification of the homologous target in relatively closely related species [ 7].
Family relationships between training and testing sets have been shown to affect prediction accuracy (Habier et al. 2010; Pérez-Cabal et al. 2012).
However, parameter setting has been shown to be both problem dependent and evolution dependent.
For example, the presence of AmeriCorps members in educational setting has been shown to dramatically improve literacy and math performance of students.
In fact, the fisa decoy set has been shown to violate the van der Waals term.
Goal-setting has been shown in previous studies to be an effective mechanism to enhance self-management strategies [ 39, 40].
Statin treatment for hypercholesterolaemia, in the outpatient setting, has been shown to be associated with few complications.
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