Sentence examples for for interaction information from inspiring English sources

Exact(1)

To determine the targets of miR-302d in hADSCs, we searched for candidate gene targets using the miRWalk database, which allows for the search for interaction information from eight established miRNA target prediction programs (RNA22, miRanda, miRDB, TargetScan, RNAhybrid, PITA, PICTAR and Diana-microT).

Similar(59)

A restart contains a function to be called when the restart is invoked, an optional name that can be used to find or invoke the restart, and an optional set of interaction information for the debugger to use to enable the user to manually invoke a restart.

We use the KWII as the measure of interaction information for each variable combination.

Moreover, EDGEdb enables the export of interaction information for multiple genes or TFs at a time.

As revealed on simulated data, GraphAlignment outperforms Græmlin in the use of interaction information for network alignment.

The Human Proteome Organization Proteomics Standards Initiative-Molecular Interactions (HUPO PSI-MI) consortium has specified well-defined standards for the representation of interaction information and substantial effort has been made by databases to adhere to these standards (14, 15).

The Internet has become an important tool for social interaction, information, and entertainment [ 1].

Building on such text analysis methods, several IE systems and services have been created for retrieving interaction information from PubMed (http://www.pubmed.com).

Using the BioGRID database [ 47] we obtained the total number of interactions associated with each gene from the EST-based dataset for which interaction information was available, resulting in a total of 4,422 genes involved in 34,462 interactions (Additional file 12).

To achieve these goals, in this paper, a relational database for storing this interaction information generated on distributed user interfaces is proposed.

Zhu et al. [ 16] recently started using support vector machines to build binary classifiers as prediction models, in which an F∞-norm constraint was proposed to account for gene-gene interaction information.

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