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From Table 3, it can be seen that numerical results obtained by our methods are in good agreement with Srivastava, Bahadir and Jain's methods.
We also show that the experimental results discovered by our methods are superior to those by Zhang's algorithm.
Interestingly, many of the targets predicted by our methods are not predicted by the other prediction algorithms and thus our approach provides possible novel targets that need further investigation for relevance to colorectal cancer {Step 7}.
The aligned RT sequences from both genomes are well conserved, in particular in those OSM regions, implying that these elements identified by our methods are likely true LTR retroelements.
Although the verification of the modelling process through literature reports is an indirect way to evaluate gene regulatory networks, it at least shows that the gene regulatory networks modelled by our methods are compatible with the existing literature findings.
Hence, along with the conserved IntFams identified here, additional intestinal cell functions, which lack ortholog status by our methods, are likely to exist as pan-Nematoda conserved intestinal cell functions.
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As we showed in later sections, the amount of crosstalk introduced by our methods is small, while the quality remains good for low bitrate applications.
In addition to the novel predicted conditional exons, examples of known conditional exons which were predicted by our methods were shown in Supplementary Figure S1.
The best overall accuracy on the protein fold recognition test set obtained by our methods is ∼86.7%.
The proposed method complies to the ITU-T Z500 standard on tests development and we show that the tests designed by our method are sound and exhaustive.
The spinodal lines and the critical points obtained by our method are identical to those obtained from the less-computer-efficient Gibbs traditional method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com