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Because a module eigengene is defined as the first principle component of its module, it describes the main direction in which the module's gene expressions vary.
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To measure the accuracy of module predictions we used a leave-one-out (LOO) cross-validation procedure, i.e. only proteins which itself and one of its module components possessed an annotation were used in cross-validation.
Each module is then characterized by its eigengene, the first principal component of the module expression data, which accounts for the greatest variation of the expression levels in the module.
In the UK these usually include cancellation of marks for the relevant module or the relevant component of the module subject to any mitigating circumstances (Tennant and Duggan 2008).
Module eigengenes can be seen as representing the first principal component of a module.
Table 1 Number of sessions for each component of the module.
Eigengenes were computed as the first principal component of a module's expression matrix.
The module eigengene, the first principal component of each module, represents the module's expression and was used to detect biologically relevant modules.
We followed the evolutionary adaptation to the removal of an important component of the module that polarizes budding yeast cells.
A bottom-up context information, formed by a sinusoidal wave was directly sent to the cortical component of the module.
The gene expression properties of each of these modules can be condensed into module eigengenes (MEs) which represent the first principal component of each module [ 32, 33].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com