Sentence examples for integration of interaction from inspiring English sources

According to Dittrich et al. (2008), CMD has been applied in different research projects outlining different aspects within software engineering (e.g. design of flexible and adaptable software; agile development for e-government applications; and the integration of interaction design and software development).

Since integration of interaction data from different databases is an important issue, collected data will be subjected to the HUPO PSI's molecular interaction format [ 22].

The diversity in applications allows for integration of interaction data from numerous molecular classes and cellular states, providing insight into the structure of complex biological systems.

Another interesting field for which integration of interaction and expression data was applied represents the prediction of new transcription factor binding sites (TFBSs) by using statistical models (21, 22).

Despite the availability of standardized formats and terms, this update of HitPredict shows that integration of interaction datasets to obtain a unique set of high-quality interactions requires considerable manual effort.

However, gene expression datasets used alone cannot identify relationships between genes within the system of interest; identification of these relationships also requires integration of interaction networks so that changes in gene expression profiles can be fully understood.

These features are designed to facilitate the retrieval and integration of interactions from the different available datasets included in EDGEdb.

Further, integration of interactions from multiple databases requires accurate annotations for the interactions such as valid protein identifiers and standardized terms for experimental description.

Automated integration of interactions is further complicated by varying levels of accuracy of database content and lack of adherence to standard formats.

Version 2.0 of BioNetBuilder includes a redesigned synonyms resolution engine that enables transfer and integration of interactions across species; this engine translates between alternate gene names as well as between orthologs in multiple species.

Taking the combined approaches even further, Tanay et al. (2004) described an integrative framework allowing the integration of protein interaction data with gene expression, phenotypic sensitivity and transcription factor (TF) binding, using the SAMBA bi-clustering algorithm (Tanay et al., 2002).