Sentence examples for clusters and compared from inspiring English sources

The methods are evaluated using simulated data sets with either circular or irregular clusters, and compared to the circular and elliptic scan statistics.

We next associated the melanoma and non-melanoma ESTs to UniGene clusters and compared the two lists of clusters in order to identify clusters formed by ESTs found in the melanoma group only.

We then selected representatives of these clusters and compared their genomes with the genomes of clinical and commercial strains.

As a pilot experiment, we performed a nested STRUCTURE analysis on a few clusters and compared the results to an Fst analysis of the same clusters.

To score F1 population genotypes, progeny sequencing tags were also aligned into clusters, and compared to the parental marker panel to identify genotypes.

Codon site models M0, M1a, M2a, M3, M7 and M8 were implemented in codeml for each of the six clusters and compared using likelihood ratio tests.

This work thus proposes two automatic wafer-scale defect cluster identifiers, which utilize neural networks and genetic algorithms for detecting the defect clusters, and compares them with that presented in our earlier work.

Therefore, the result based on our algorithm needs to generate seven clusters and compare with other algorithms.

In this section, we present some results from simulation of a flat fading channel with one and two clusters and compare them to theoretical derivations, discussed previously.

We then discuss the proportion of these mRNAs that match protein databases, discuss the most abundant 'known' clusters, and compare the metatranscriptome with the metagenome and with the first published study of a marine metatranscriptome [9].

Additionally, it clusters and compares members of co-expressed genes.