Sentence examples for maximum clique concept from inspiring English sources

Finally, we identify the differential coexpression gene modules using maximum clique concept and k-clique algorithm.

Biweight midcorrelation measures the coexpression relationship between genes and the k-clique analysis with maximum clique concept quickly finds maximum disease-related module with biological significance.

We use k-clique algorithm to find gene cliques, and maximum clique concept is used to quickly find large gene modules which are made of k-clique chain.

In this paper, we proposed a new approach for gene differential coexpression analysis in gene modules level based on combining biweight midcorrelation, differential coexpression threshold strategy, and maximum clique concept and k-clique analysis.

In this paper, we proposed a new approach in gene sets level for differential coexpression analysis, which combine biweight midcorrelation and threshold selection strategy and also applied maximum clique concept with k-clique algorithm to the specific gene set to further investigate gene regulatory networks.

Then, the concept of maximum clique and k-clique algorithm were used to find gene differential coexpression modules.

For disk graphs, we consider two variations of the maximum clique problem, namely geometric clique and graphical clique.

Then we select maximum clique nodes in CG as distributed Certificate Authorities (CAs).

The maximum clique problem (MCP) is a classic graph optimization problem with many real-world applications.

Then the backbone network energy optimizing problem is transformed to the maximum clique problem (MCP).

We propose an algorithm to find all the weighted cliques as well as the weighted maximum clique in order of size using the framework of DNA computing.