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It therefore was of interest to explore the global similarities and differences between the transcript populations in these two cellular locations, and for this purpose microarrays were employed.
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The transcript population included transcripts from genic and intergenic regions.
This constitutes the major difference between the EST profiles of the human and mouse genes, and most other differences arise from this skewing of the transcript population.
A total of 15,176 transcripts were combined for comparison of expression differences between the two populations and 118 transcripts were differentially expressed (p < 0.05).
A total of 15,176 transcripts were combined for comparison of expression differences between the two populations and 118 transcripts were differentially expressed (p < 0.001) (Table 3).
Also, splicing analysis identified 3 transcripts with significantly different splice forms between the two populations.
One-way ANOVA identified 9,955 differentially expressed transcripts (DETs) between the eight APC populations.
Another vitellogenin transcript was spliced differently between the two Culex populations.
The LIMMA algorithm (linear models for microarray data) was then used to identify transcripts differentially expressed between the leukocyte population and the liver reference data.
For each pair of transcripts, correlation between the population structure-adjusted mutation rate across strains was computed as a measure of coevolution of transcripts.
Finally, Tukey's test following ANOVA identified the transcripts differentially regulated between populations in a pair-wise fashion.
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