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This cluster was enriched for gene products localizing to the mitochondrial inner membrane, consistent with GO enrichment for aerobic respiration.
The K2 cluster was enriched for genes regulated by NikR, GlpR, GcvA, IHF, IscR and RstA and amino acid and anaerobic metabolism (Supplementary Fig. 18).
Each cluster was enriched in specific biological categories.
Similarly, the erythromycin gene cluster was enriched after the metabolic switch (Additional file 1: Figure S3).
Additionally, this cluster was enriched for glutathione dehydrogenase (ascorbate) activity (FDR 4.90E-03) (Table 5A).
Each cluster was enriched for gene ontology categories related to subclasses of blood and immune functions.
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GO term-enrichment analysis shows that this cluster is enriched for terms that would be involved in cell wall modification (Additional file 6A).
The cluster is enriched (FDR<0.05) for 125 GO categories, representing most enriched categories found in the entire dataset of sensitive strains.
This cluster is enriched for STAT1/2 and IRF1/7/8 targets and the enriched pathways include interferon and JAK/STAT signaling, anti-viral responses, the inflammasome and leukocyte chemotaxis.
With each repetition, that synaptic cluster is enriched: millions of new synapses fill in the gaps, and the synaptic networks underlying other goals dissipate with disuse.
This feature can be useful for determining how prior knowledge categorization compares to data driven clustering, and whether a cluster is enriched for a specific category.
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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