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There is a high interest of module providers in the adoption of these open mechatronic architectures as they may provide a new business model where the automation solution can be easily tailored for each customer in due time and ships with a significant part of the control solution (high added value).
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The interest of this module is to allow for multiple samples of the same population taken at different generations.
The putative hub genes for the five modules of interest are highlighted in the lists of module genes in Additional file 2: Tables S6-S10.
Thus, the search can be guided directly towards the modules of interest, for example, modules that show coherent behavior in a subset of conditions.
The module itself is comprised of a viewing area; play/stop/rewind/fast forward buttons, allowing the patient to control the tempo of the presentation; and a table of contents, which can be used to jump to specific topics of interest in the module's presentation.
Users can search the keyword of interest in this module directly, e.g. type 'glycolysis' in the keyword text-field, then carefully specify a model organism, e.g., H. sapiens.
The Module Trait Relationship (MTR) was calculated as the correlation between the module eigengene and traits of interest, and modules with a significant correlation >0.5 were selected for functional annotation.
With recent interest of gene differential coexpression analysis in the gene network or module, gene module analysis has emerged as a novel holistic approach for microarray analysis.
Of particular interest in this module is the linkage between FZD7 and DVL3 (Dishevelled), and several cell junction associated proteins including DLG1 (discs large), GJA1 (connexin 43), EZR (ezrin), and two tubulin proteins (TUBA3E and TUBA3C).
The Module-Trait Relationships (MTRs) with all selected obesity and obesity-related (OOR) traits were calculated by correlating the module's eigengene to the traits of interest and used for selection of modules for downstream analysis.
Of particular interest are the GO enrichment terms of Modules 4, 6, 9, and 10 as these were identified to most robustly reflect tissue specific responses to N limitation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com