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Clinical microarray data provides a useful environment for the investigation: despite being valuable for reuse and extremely costly to collect, is not yet universally shared.
Overall, the microarray data provides a very complex picture of the effect of AZT on inflammatory-related genes, and it is likely that the individual gene effects, such as down-regulation of MUC5AC and MMP9, may be more important to the final inflammatory outcome than the overall global response might predict.
First, microarray data provides an analogue measure of sequence prevalence while sequencing is inherently digital.
The rapid accumulation of microarray data provides unprecedented opportunities to study the molecular mechanisms underlying disease pathogenesis and progression.
The rapid accumulation of genome sequences and high-throughput microarray data provides rich materials for research on gene function and regulation at the system level.
Despite these challenges, microarray data provides valuable information for the validation of the DDD screening results, especially for the genes with corresponding specific probsets.
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The SSH data provided only up-regulated genes while microarray data provided both up- and down-regulated genes.
High-throughput microarray data provide a powerful tool for identifying genes at the genome scale that control pollen development.
Taken together, the microarray data provide a basis for new testable hypotheses regarding enhancement of thymidine productivity and attaining a more complete understanding of nucleotide metabolism in bacteria.
Coincidently, our microarray data provided molecular biological evidence in support of this hypothesis.
Novel analyses on existing microarray data provide fresh insights and new interpretations into transcriptome-wide changes in expression.
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