Your English writing platform
Discover LudwigExact(6)
At first glance, all of the datasets show the same overall features, and the point clouds are more or less superimposed.
This cut-off was the most stringent parameter setting applicable and ensures that the datasets show no substantial sequence similarity.
Moreover, some of the datasets show the presence of tumors.
Most of the datasets show consistently weak planning for impossible trials, while one showed frequent strong vacillations.
Many differentially expressed genes contained at least one conserved RUNX1 binding site in their regulatory regions and the overlaps between the datasets show a higher enrichment for such genes as hypothesized above.
First, the top most common annotations across the datasets show a tight match, with the notable exception of the ribosome, cell adhesion and the immune response GO codes; the nucleic acid binding and spliceosome-related processes are added to this when one considers all GO categories that change the most between WBC and OO.
Similar(54)
Expression of genes from four gene families were mined from five different microarray datasets (definitions of the datasets shown in Additional file 2: Table S1).
Integration of the datasets shows that it is possible to link structure to pathology via the two layers of analysis allowing a reconstruction of a series of pathways.
In brief, none of the datasets showed evidence of gender bias.
None of the datasets showed a significant difference in patient survival.
Only 3.5% of the bat transcribed genes from each of the datasets showed homology to genes associated with immune function.
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