Sentence examples for module search algorithm from inspiring English sources

We proposed an efficient network-assisted framework to identify candidate genes from GWAS data based on dense module search algorithm.

For genome-wide association studies (GWAS), Jia and Zhao [ 9] applies a dense module search algorithm for locating network modules that are jointly associated with a disease.

Based on "Network-assisted causal gene detection in genome-wide association studies: an improved module search algorithm", by Peilin Jia and Zhongming Zhao which appeared in Genomic Signal Processing and Statistics (GENSIPS), 2011 IEEE International Workshop on.

In this study, we proposed an alternative restricted search approach based on our previously developed dense module search algorithm, and we demonstrated it in the CATIE GWAS dataset for schizophrenia.

The methods of combining GWAS and PPI networks mainly fall into two categories, (1) dense module search algorithms in search of significantly enriched subnetworks [ 11, 12, 25], (2) propagation algorithms related to Google's PageRank [ 13, 14] in search of genes that have top ranks in the network.

> -wrap-foot> The iBBiG algorithm identifies bi-clusters (or modules) in a matrix of binary data and consists of three main components (i) a module fitness score (ii) a heuristic search algorithm to identify and grow modules in a high dimensional search space and (iii) an iterative extraction method to mask the signal of modules that have already been discovered.

When the intelligent control module receives the RFID label information uploaded by the UHF RFID reader module, the intelligent control module will use the B/B + tree search algorithm to find out whether the label information is in the memory card file.

The service composition module implements a breadth-first forward search algorithm [20].

Then, a new numerical optimization approach about product module identification, which used improved harmony search algorithm, is presented in this paper.

For every split of a module into submodules, we use the search algorithm detailed in ref. [15] and described again here.

We identified 346 significant modules on the basis of their aggregate degree of genetic association with MS. Due to the nature of the search algorithm, several of these modules overlap extensively in their component genes.