Sentence examples for inferred module from inspiring English sources

It can be interpreted as the probability that an inferred module is a set of functionally related genes.

In order to assess the validity and the relevance of the inferred module network, we here present a detailed analysis of three modules, with an emphasis on the typical features of miRNA mediated regulatory modules.

The graph edit distance hierarchy error, d2, is a measure for the error of the inferred module hierarchy.

Similarly, the 'Module result' page is composed of four separate tables, the first containing genes belonging to the module, the second containing GO enriched terms (sorted by type and SCS significance), the third containing expression specificity of the inferred module, and the final table is a list of significantly connected modules.

In addition to the model plant Arabidopsis, these algorithms have also been applied to study co-expression networks in important crop species such as rice, barley and soybean [ 21, 28], with databases developed to store inferred modules and provide a user-friendly resource for plant biologists.

For example, Guo et al. [ 9] proposed the use of mean or median gene expression values in gene ontology (GO) modules [ 12] to infer module activity.

Building on the work by Segal et al. on learning module networks [ 32], Joshi et al. [ 33] developed a probabilistic approach to infer module networks in yeast, using both transcriptional and post-transcriptional regulators.

A recurring theme in earlier approaches is to infer modules as connected subnetworks where genes are co-expressed.

Therefore, the design of biologically sound as well as computationally tractable models for inferring modules has been at the core of functional genomics throughout the post-genomic era.

Recently, integrated methods aim at inferring modules as densely connected regions in interaction networks that is regions which are not only connected but also contain a high amount of edges, certainly inspired by the successes of approaches based on network data alone which made use of this idea.

A common approach to discern structure in a global interactome network is to infer modules and assume a functional coherence within each module, which may represent a biological complex or a metabolic/signaling pathway.