Sentence examples for composition of the data set from inspiring English sources
Descriptor selection is the result of a statistical procedure, and depends on the composition of the data set.
The performance of a fingerprint in these studies depends not only on its ability to describe the molecular features responsible for activity against a specific target, but also on the composition of the data set, the statistical robustness of the study, and the evaluation method(s) [9 14].
One of the main questions in phylogenomic analyses based on sequence information is the composition of the data set used.
To analyze the amino acid composition of the data set, we first assembled a 20 × 25 matrix containing the frequency of each amino acid per species using the program Pepstats of the EMBOSS package (Rice et al. 2000).
We analyzed the amino acid composition of the data set of 9,013 positions because heterogeneity in amino acid composition may violate the stationarity assumption made by most models of sequence evolution (Lockhart et al. 1994; Gowri-Shankar and Rattray 2006).
As a first approach, we examined the amino acid composition of the data set by plotting the first two components of a correspondence analysis of the 20 amino acid frequencies but identified no large deviation in composition of the chloroplast proteins among the taxa examined.
Gender composition across the data set is generally unknown and was therefore not considered.
PCA extracted six components, which are accountable for the data composition explaining 81% of the total variance of the data set and allowed to set the selected parameters according to regular features as well as to evaluate the frequency of each group on the overall variation in water quality.
OPC analysis on the U133A data set generated an optimal two cluster solutions of the data set exhibiting the composition in terms of control and disease samples reported in Table 1.
Other phenomena, like non-stationarity of substitution rates across sites and branches as well as base composition heterogeneity, might also maul the signal content of the data set.
To examine whether different categories of sex-biased transcription have different compositions of phenotypes, we subdivided the data set into five expression categories, each with equal range: (1) 0 < x < 0.2; (2) 0.2 < x < 0.4; (3) 0.4 < x < 0.6; (4) 0.6 < x < 0.8; and (5) 0.8 < x < 1.0.
