Your English writing platform
Discover LudwigExact(1)
Surprisingly, mRNA expression analyses identified that only about 800 genes were differentially regulated in both Tip60 and p400 knock-down mESCs [ 14, 15].
Similar(59)
Expression analyses identified six miRNAs that were significantly differentially present in exosomes in response to bacterial infection of the mammary gland, and provided two promising targets in bta-miR-142a and −223 for biomarker development of bacterial infection.
Digital expression analyses identified a large number of genes that were associated with cold acclimation and other stresses.
Gene expression analyses identified 1334 genes with clear differential expression in the lungs (Figure 3a and Table 3).
The current gene expression network analyses identified pathways operating in skeletal muscle that are likely to contribute to quantitative trait variation in the trait EMD, a measure of muscle yield.
Two separate differential expression analyses have identified six genes that are significantly more highly expressed in the light organ than in non-luminescent tissue.
Statistical analyses identified 585 genes that were significantly altered in expression among the three treatment groups (Additional file 1).
In 46 of 65 patients, 10-fold cross validated supervised analyses identified gene expression patterns that predicted with ⩾73% accuracy (1) clinical complete response after eight cycles, (2) overall clinical complete response, and (3) pCR.
Here, we conducted differential expression analyses and identified a number of genes that were up- or downregulated in P. hopeiensis during water stress.
More recent whole genome gene expression analyses have identified a subset of glioblastomas that overexpress transcripts of ECM components, corresponding to a mesenchymal gene expression profile and being associated with worse prognosis [ 7- 9].
However, several important immunological pathways that may be common to the cervical cell population were identified by the gene expression analyses that would not have been identified by cell phenotyping alone.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com