Sentence examples for cluster strength from inspiring English sources

For these detected modules, we have also made the gene cluster strength analysis.

We identified the top 200 gene clusters using unsupervised GS (see Additional file 4) ranked according to their internal cluster strength (order of how they were shaved).

Several quality control steps were applied (SNP call rate > 97%, Fisher's linear discriminant, heterozygous cluster strength offset, homozygote ratio offset) (Hammer et al, 2014; Stepniak et al, 2014).

First of all, we have learned three cluster strength evolutionary patterns from AD group which look similarly to the patterns we found from the strategy-based analysis.

The "Heterozygous Cluster Strength Offset" (HetSO) measured the difference in the signal intensities of the genotype clusters as the heterozygous cluster should have higher signal intensity on average compared to the homozygous ones due to technical features of the array.

The rate of participation by volunteer FSWs on program committees within the cluster (strength of community mobilization) ranged from 17to73%3 %, with an average of 45%% across the clusters.

Finally, to measure the isolated clustering strength z k, we use the function: we use the function: (11).

Furthermore, the calculation of the clustering strength is only applied to small sections of the network, which is usually much smaller than the total number of sensors |V|.

Calculate the clustering strength of cluster C k based on the assortative mixing equations (Equations 9 and 10); this step iterates through each C k adjacency list, thus it has a time complexity of O |E|+|V|)  .

The proposed RSF Clustering Defense (RCD) algorithm can be separated into three distinct parts: (1) the graph setup, (2) the breadth-first search to identify all the clusters (i.e., subgraphs), and (3) calculating the clustering strength of an identified cluster.

This section introduces the RSF clustering defense (RCD) module that operates in three steps: 1) analyze the RSS diversity for any clustering behavior, 2) compute the clustering strength in order to conlude the presence of a rogue signal, and if so 3) ignore trust penalties of sensors in the attacked clusters.