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The color coded presentation of profiles revealed that many gene expression changes upon aging are also differentially expressed upon serial passaging in vitro (figure 2).
Only a subset of the 490 differentially expressed genes are likely to be direct targets of FOXO1a, since many gene expression changes likely result from regulatory network perturbations (e.g., the genes may be regulated by the direct targets of FOXO1a, or by genes that are farther downstream in the cascade.
Many gene expression systems have also been engineered to include various parts of the SV40 genome, such as its promoters, splicing signals, and poly(A) cleavage signals.
Due to the usual disparity between a few available samples (from limited conditions or time course points) and many gene expression values (entire genomes), a complex high-dimensional genomic system has to be analyzed, for instance by reverse engineering methods.
PcG and TrxG proteins are required for the maintenance of many gene expression patterns [5].
Many gene expression profiling (GEP) studies on CRC have been performed in the last decade using microarray technology.
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Answers to these two questions are fundamentally important in many gene expression-based studies.
These regulations are controlled by not only simply turning on/off genes but also mediated by the quantitative concentrations of many gene expressions.
This larger number suggests that correlation between many gene expressions and the variable of interest is underestimated due to the hidden dependence structure.
For many genes, expression levels are influenced by DNA polymorphisms (eQTLs).
Many genes' expression variances even have significant correlation with clinics, which would not be caused by technique variance too.
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