Sentence examples for modules common to from inspiring English sources

Among the 32 disease modules, we discovered 4 disease modules common to multiple disease phenotypes.

To further increase robustness, the networks produced by each method are then compared to generate consensus modules common to both techniques.

These results showed significant enrichment for two cancer modules common to both arsenic and cadmium: cancer modules 88 and 55 which include gene sets associated with liver, lung, heart, breast, and prostate cancer (Table 1).

This tool uses a comprehensive library of 1981 position weight matrices, combined with phylogenetic conservation, to identify potential cis-regulatory modules common to a cluster of co-expressed genes.

Transcriptional modules common to a metabolic trait as well as to other traits measured on the 40 wild-derived inbred lines [ 26] were identified by comparing the transcripts in each metabolic module to the transcripts in each module from the other traits and comparing whether the overlap between the modules exceed what is expected by chance using a Fischer's exact test.

The mean value of all these scores was computed over all the components of the module common to both phages (Portal, Ad, Hc etc.…) in order to yield the similarity score between the pair of phages.

It remains to be seen whether the combinatorial use of standard recognition modules is common to other effectors of ubiquitylated or sumoylated proteins.

The particular expression pattern of the GFP modules were common to all positive lines, showing a single small and perinuclear spot per cell.

In traditional training programmes, the modules are arranged in columns, each relating to a particular vocational category (see Figure 1) and although some modules may be common to a number of columns, there is no sideways movement between the columns.

Within the network modules (groups of high connectivity genes within the network) produced by the different datasets for gene ontology enrichment, 3 distinct modules that were common to the 3 different data sets were detected (Table 1 and Figure 6).

A lot of gene expression data has been accumulated on cancer-specific tumors warranting the need for developing effective algorithms to translate the differentially expressed gene lists into functionally coherent modules that are common to all cancers or shared in a given subset of cancers.