Your English writing platform
Discover LudwigSuggestions(1)
Exact(60)
The primary candidate genes were filtered using gene ontology cellular component analysis, the F9 cell-expression dataset, and the ESC-expression dataset, resulting in 434 final candidate genes (Fig. 2B and Supplementary Tables S2 S4).
Genes were filtered, and data were normalized.
Transposons, pseudogenes, plastid and mitochondrial genes were filtered out from the data set.
Genes were filtered for 1.5-fold difference and then analyzed via ANOVA (P<0.05).
Genes were filtered on the basis of call, fold change and p value.
Genes were filtered on the basis of fold change ≥2 and p value ≤0.05.
Before statistical analysis, bacterial genes were filtered out along with genes called absent by the mas5calls function.
Essential genes were filtered out before any processing took place; we retrieved a list of these genes from Stanford's "Saccharomyces Genome Deletion Project" website [30].
The genes were filtered according to sure independence screening (SIS), i.e. all genes were ranked according to the Pearson correlation coefficient between its gene expression and resistance index.
These genes were filtered out.
However, annotations for pseudo genes were filtered.
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