Sentence examples for representation factors from inspiring English sources

In this article, the SWPT technique is proposed to characterize proteins by five representation factors: polarity, secondary structure, molecular volume, codon diversity and electrostatic charge.

The study used a 2 × 2 factorial design in which an animation factor (animated vs. static) was crossed with a representation factor (concept map vs. text).

To determine statistical significance of protein overlaps between populations a representation factor was calculated: (number of significant proteins common between two populations)(number of proteins identified)/(number of proteins in population X)(number of proteins in population Y) [51].

The representation factor was calculated as observed overlap/expected overlap.

A representation factor > 1 indicates more overlap than expected by chance for two independent groups of genes or events, a representation factor < 1 indicates less overlap than expected.

None of the categories studied here displayed a statistically significant under-representation (Representation Factor < 1; p-value <0.05).

Fifteen functional categories of our interest were examined in detail determining the representation factor for each category.

Representation factor and P-values calculated by the hypergeometric distribution (see Methods) were used to evaluate the overlaps.

Generally, the larger the representation factor is, the smaller the P-value, indicating that the overlap is more significant.

The representation factor is the number of overlapping genes observed divided by the expected number of overlapping genes drawn randomly from two independent groups.

The P-value associated with the representation factor was calculated by the hypergeometric distribution: where k = |A∩B|, and the brackets indicate the binomial coefficient.