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As is often the case with microarray transcript abundance data, our log-transformed data approximated a normal distribution.
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Using microarrays, transcript abundance was measured in brain and muscle tissues from Spalax and rat individuals exposed to acute and chronic hypoxia for varying durations.
To confirm findings from microarray analyses, transcript abundance was analysed for a sub-set of significantly differentially expressed genes using RT-qPCR.
To confirm these microarray results, transcript abundances were determined by RT-qPCR for six selected genes.
To confirm the accuracy of the microarray results, the transcript abundance of 13 selected genes was carried out.
In order to assess the global transcriptional response pattern of the Aag2 cell line to DENV infection, we employed a whole genome oligonucleotide microarray to compare transcript abundance in non-challenged cells to that in cells that had been challenged with either live virus (DENV) or heat-inactivated virus (HIA DENV) at an MOI of 1, at 48h post-infection (pi).
Symatlas expression data is derived from Affymetrix microarray assessment of transcript abundance from over 40 mouse tissues [ 27].
Subsequently, by microarray, they measured transcript abundance levels of 20 599 genes in EBV-transformed Lymphoblastoid cell lines (20).
Thus, microarray analysis of transcript abundance changes during benzoate oxidation reliably identified the genes predicted to be involved in benzoate oxidation.
Microarray analysis of transcript abundance was performed by hybridization of dye-labeled RNA to Illumina HT-12 bead arrays containing probes for all human reference genes.
Principal components analysis of the microarray-derived transcript abundances of the genes selected based on cross-validation clearly differentiated the five experimental groups (Figure 1D) based on the 7-day mortality (principal component 1) and the type of agent used (Gram positive, sterile, Gram negative, principal component 2).
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