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IPA pathways were filtered considering only the genes obtained from the quantile function.
The significant GO terms and pathways were filtered in accordance with P < 0.05 and FDR < 0.05.
Genes belonging to both pathways were filtered from already enriched GO terms and were re-entered into the analysis.
For phylogenies based on pathways, pairwise orthologs for each of the gene components of individual pathways were filtered out in all the C. concisus strains, and genes were then concatenated and aligned to the remaining strains using ClustalW [ 44].
Significantly overlapping pathways were filtered by iteratively going over the list of pathways (sorted by FDR corrected p-value), removing pathways with more than 50% overlap with previous pathways in the list.
The 174 pathways were filtered down to 27 by additionally requiring the miRNA putative targets to be enriched ((-Ln [p-value]) > 3) in at least 4 of the different pathways.
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Based on these IPA analyses, the cellular biofunction categories mentioned above and the TGFβ pathway were filtered among other cellular processes and canonical pathways; then ranked according to their p-values and represented as a color coded matrix.
GO and pathway gene-sets were filtered to remove exceedingly large or small sets, resulting in 1425 GO sets (out of 5657) with 100 to 3000 genes, and 519 pathway sets (out of 1763) with 50 or more genes.
For pathway analysis, genes were filtered by expression level (≥5 in at least one of the two groups to be compared), log ratio (log2 ≥ 1 or ≤−1) and significance of the difference (q value, significance corrected for multiple testing by Benjamini Hochberg, q ≤ 0.05) between the compared groups.
Genes that contributed the most to the enrichment scores of pathways with FDR < 0.2 were filtered based on thresholds set for gene association and effect values.
Expression data were filtered before pathway analysis by flags.
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