Sentence examples for interpretation of modules from inspiring English sources

The smaller distribution of module sizes associated with Walktrap-GM highlights a more specific and informative set of biological interactions that facilitates interpretation of modules; where the functional annotation of larger modules that may otherwise be too general to be meaningful.

Although many alternative coexpression network methods have been proposed [ 99], WGCNA offers several valuable opportunities including interpretation of module robustness, calculation of network properties, and the possibility of association of modules with external clinical traits.

The approach performs well when evaluated against similar tools and smaller overall module size allows for more specific functional annotation and facilitates the interpretation of these modules.

The main goal of this investigation is twofold: (i) an interpretation of projective modules over noncommutative tori in terms of Gabor analysis and (ii) to show that the Morita Rieffel equivalence between noncommutative tori is the natural framework for the duality theory of Gabor frames.

All this leaves the biological interpretation of these modules murky – surely there must be more than five regulatory systems across the life cycle of these species, and if so then what do these module groupings really reflect?

Two additional matrices can be provided to improve the biological relevance and ease of interpretation of resulting modules: one indicating which genes are differentially expressed (DE) in each time series dataset (previously determined relative to a control time series) in a binary manner (0 for non-DE, 1 for DE), and the second providing annotation information for each unique gene identifier.

The interpretation of the module degradation via sub-cell analyses is presented and the poor reproducibility of the module performance linked to the barrier properties of the encapsulation around the device terminals is addressed.

The interpretation of a module's substructure is further facilitated by the integration of other data types.

A biplot can also assist in the interpretation of stress-specific modules.

A key to the functional interpretation of each transcriptional module is detailed in Table S1.

As this method also provided taxonomical information from KEGG modules as well as the gene hosts constructing the modules, interpretation of completion profiles was simplified and we could identify the complementarity between biochemical functions in human hosts and the nutritional preferences in human gut microbiomes.