Sentence examples for enrichment coefficient from inspiring English sources
The enrichment coefficient can be estimated as: (3) ENR = CG / L / TG / T Where: ENR – enrichment coefficient, CG – the number of genes with detected expression changes in a given functional category in the experimental gene list L, L – the number of genes in the experimental gene list, TG – total number of genes in a given functional category, T – the total number of genes assessed.
TG – total genes in a given functional category within the total list T, CG – changed genes within the list L, ENR – enrichment coefficient, LOG10(p) – logarithm of p-value of one-sided Fisher's test of significance of a given ENR at a given group size, FDR – false discovery rate.
Table 1 below combines expression-normalized functional enrichment coefficients computed for Top 20 most enriched ontological categories for gene lists in the Tiers 0 3.
The functional categories with the lowest false discovery rates were re-sorted by enrichment coefficients in the descending order.
The effected functional categories may develop high and statistically significant enrichment coefficients in the changed gene list.
In the Top 20 categories, the enrichment coefficients were in the range of 4.5-19 4.5-19a tendency to an upper side of the range.
Robustness of the enrichment coefficients is established by permuting the composition of L and expressed as p-value and False Discovery Rate (FDR).
The relative functional enrichment coefficients reflect the extent of association of the differentially expressed genes with the pathological mechanism that caused the differential expression event in first place.
Vesicle formation related functionalities displayed the highest enrichment coefficients among all consistency tiers and were accompanied by the lowest p-values and FDRs.
In general, the enrichment coefficients positively correlate with consistency scores, decreasing in the direction from Tier 1 (highest consistency) to Tier 3 (lowest consistency).
In agreement with these observations, our data point to an overall decrease in transcript expression levels in the most of the functional categories showing high enrichment coefficients by GO-MINER.
