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With RMA, we compared genotypes based on expression intensities of each probe set, the only result RMA provides.
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In order to categorize presence or absence of the genes of E. coli based on expression intensity, publicly available gene expression data was used.
Five MDM2 probe sets were available on these arrays; based on expression intensity, we chose the probe 217373_x_at for comparisons of MDM2 expression according to TP53 and MDM2 genotypes.
This entity list was created by filtering based on expression (lower intensity cut-off ≤ 300) and flags to account for background, false positives and absent spots.
Background noise and poor-quality data were filtered out based on expression levels (fluorescence intensities); the probes showing expression values of <5 or >100 in more than 5 (3.3%) samples per transcript were excluded from the analysis.
The percentage of BRCA1+ foci was determined based on a greater than two-fold increase in BRCA1 intensity at TRF1-FokI foci relative to total nuclear intensity, two-fold cutoff value is based on expression of catalytic dead TRFI-FokI-D450A (see Supplementary Fig. 2f).
The Pearson correlation coefficients provide an alternative extreme, because they are based on the expression intensities in all treatments (even those that have below-background raw intensities).
In order to compare tissue expression profiles between species, each gene was represented as a vector of relative expression abundance (RA) across the sampled tissues to avoid over-estimating divergence based on absolute expression intensity.
The outliers were excluded based on their expression intensity within a group, and those samples did not affect the outcome of the further analysis.
Probe sets were filtered based on their expression intensity value (MAS5 value).
Firstly, genes from real RNA-seq data were filtered based on the expression intensity across all replicates.
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