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As the method works only with unassembled sequence data, an extra BLASTx step was performed for the 91 516 reads that had contributed to the 679 assembled contigs.
As previously explained, the GSC method cannot be applied to diseases with only a single associated gene, as the method works by measuring the network distances between pairs of genes.
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This probably creates a confound so that the authors cannot use the fact that known genes are highly ranked in their schemes as evidence that the method works well.
The objective of this manuscript is to demonstrate a simple 6-step approach developed by Pearl [ 14] that helps determine when the traditional statistical approaches of regression/stratification on specific covariates is likely to reduce or increase bias, and to provide our explanation as to why the method works from a conceptual point of view.
The method works as follows.
Briefly, the method works as follows.
Research has suggested that the method works just as well as medication, and many children report that they enjoy it.
In these cases the method works fine as far as there are 10 to 15 samples for each class compared.
As a proof that the method works well in our hands we performed ChIP-Chip experiments with RNA-polymerase antibody as published previously [ 4].
However, some minor remaining issues need to be addressed before acceptance, as outlined below: The traction force microscopy experiment showing that laser ablation actually releases tension in ventral stress fibers is essential, as it demonstrates that the method works.
[Editors' note: further revisions were requested prior to acceptance, as described below.] The traction force microscopy experiment showing that laser ablation actually releases tension in ventral stress fibers is essential, as it demonstrates that the method works.
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