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Dinu et al [36] extended the single gene analysis SAM and proposed SAM-GS.
This conservative approach did not change the pattern observed for the single gene analysis qualitatively (Tab. 2).
The GSEA functional categories obtained from the previous analysis were then intersected with genes differentially regulated between DMSO and LY294002 treatments from the single gene analysis array data.
We hypothesized that our dual approach of single gene analysis and GSEA algorithm generates highly relevant biological targets of the PI3K/Akt pathway in hypertrophic chondrocytes.
These data are based on single gene analysis.
Inactivation may be best assessed not by single gene analysis, but by a p53 multigene signature.
Similar(16)
Gene set analysis (GSA) was developed to identify such gene sets whose expression distinguishes biological conditions, even if single-gene analysis fails to find significant associations with the phenotype.
We performed Gene Set Enrichment Analysis (GSEA)[4] to identify common gene patterns where the single-gene analysis revealed only few overlapping genes.
We are rapidly moving beyond single-gene analysis for complex genetic conditions and we now have the ability to simultaneously analyse 4,300 disease-causing genes for less than £1,000.
GSEA analysis reveals a pattern of common gene-sets even when single-gene analysis reveals very few overlapping genes between groups.
The common finding between the two studies is that multigene models seem to be more effective than single-gene analysis for the selection of patients who could gain the maximum benefit from the administration of anti-EGFR moAbs.
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