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Using these definitions, for A. gambiae, we first selected the expression profiles and the associated gene was then identified.
In order to perform our tests, we then selected the expression data from flowers and inflorescences (angiosperms), male and female (early developmental stages) cones (gymnosperms) and vegetative tissues (leaves and pools of vegetative organs).
From this matrix we selected the expression profiles corresponding to the main behaviour categories we expected which are: CRE1 repressed genes at high growth rate (GR), CRE1 induced genes at high GR, genes induced by CRE1 at low GR, genes repressed by CRE1 at low GR, genes repressed or induced by GR alone, CRE1 repressed genes alone and CRE1 induced genes alone.
In order to establish if our list is a useful gene signature to understand the activity of oleate response we selected the expression value of the 41 yeast MDEGs in each experiments of the Smith's dataset and we performed a cluster analysis.
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The sample covariance matrices can be computed by selecting the expression levels of the genes on the pathway and by computing the sample covariances.
The estimated values were added to the time-course microarray database to allow us to select the expression data of 60 cytokinesis-related genes we collected to infer transcriptional regulatory network through NCA.
The rational to select the expression of class-3 semaphorins and their NRP receptors is that several of these semaphorins have been involved in tumorigenesis and because NRPs are co-receptors for VEGF.
As mentioned above, the reported selection systems preferred to select the expression-improved Rubisco mutants and thus failed to improve its activity.
Furthermore, we selected the anther expression data of these 11 TabZIP genes to analyze the expression differences among the three wheat lines (Fig. 9).
Therefore, we only selected the higher expression single-copy No. 4 Rs-cps transgenic line for the nematodes feeding bioassay.
Thus, we selected the GRIA2 expression as a candidate prognostic marker in this study.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com