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From the proofs of Theorem 1, one can check that the analysis approaches of this paper are indeed very different from [17, 18], and the results presented herein are also valid to the one-obstacle problem discussed in [13 16].
The formal terminology developed here and the analysis approaches it is used to describe will contribute to the development of such tools.
As with the analysis approaches discussed in the Introduction section, most, if not all of these gene selection methods consider the global behavior of individual genes across the sample population in one class compared to another class as the basis for grouping by applying various statistics including fold change, p-value and FDR.
The analysis approaches investigated here enable the straightforward incorporation of additional information, which may be useful to indentify biomarkers or potential therapeutic targets: sets of co-regulated genes, sub-networks of protein-protein interactions, and clusters of genes regulated by a common miRNA or transcription factor.
HJS, GCT, CTL, IFC and NRP designed the analysis approaches.
CYT, CHJ, and HWW designed the analysis approaches.
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The analysis approach consists of two parts.
The analysis approach and tools described here will facilitate bioinformatics analysis.
All authors contributed to the analysis approach and to data interpretation.
A theoretical analysis of engine miscellaneous heat losses forms the foundation of the analysis approach.
The analysis approach uses novelty detection based on measured transmissibilities from the structure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com