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Both data sets demonstrated a similar retention time, recovery, and MCT.
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Both data sets demonstrate the following substrate preferences for Arabidopsis PFT (normalized to 1.0 for GFP-BD-CVIQ): GFP-BD-CVIQ (1.0), GFP-BD-CVIM (0.60), GFP-BD-CVII (0.21) and GFP-BD-CVIL (0.06).
Both data sets demonstrate the following substrate preferences for Arabidopsis PGGT1 (normalized to 1.0 for GFP-BD-CVIL): GFP-BD-CVIL (1.0), GFP-BD-CVII (0.14), GFP-BD-CVIM (0.07) and GFP-BD-CVIQ (0.07).
Both data sets demonstrate increasing susceptibility to acute deficits with increasing underlying cognitive or neurodegenerative pathology, providing empirical human and animal evidence that dementia-associated risk is not binary but rather is on a continuum.
Direct comparison between amino acid and DNA informativeness profiles for 40 genes for which amino acid and DNA were both extracted from OrthoMaM data sets demonstrated correlated patterns of informativeness, with two significant differences.
Interestingly, both hormone treatment and developmental change data sets demonstrated a high and intense regulation within the TCA cycle genes when compared with stress experiment (fig. 5).
The scatterplot analysis of the data sets demonstrated a strong influence of LPS stimulation on both RelA and IRF5 recruitment.
Unsupervised hierarchical clustering and principal component analyses of all 15 RNA-Seq data sets demonstrated the high reproducibility of the obtained gene expression profiles (Fig. 1e, f; minimum replicate Pearson's correlation coefficient ρ = 0.94).
Previous analysis of the online human prostate gene expression data sets demonstrated that the expression of Nrf2 and GST [11] as well as NQO1 was gradually decrease during human prostate carcinogenesis (Figure S4).
The analysis of the published data sets demonstrated the usefulness of the new CI by objectively validating some of the previous interpretations, while showing that other conclusions lacked statistical support.
For individual mt gene analyses, the rRNA and tRNA data sets demonstrated reduced resolving power for phylogenetic inference compared to protein-coding gene analysis (Additional file 3).
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CEO of Professional Science Editing for Scientists @ prosciediting.com