Sentence examples for interaction mappings from inspiring English sources

In the previous experiments, we report the best scores (EC, S3, semantic similarities of protein and interaction mappings) that are obtained when α varies from 0 to 1 using a step size of 0.1.

Using semantic similarity, we observe that L-GRAAL's protein mappings and interaction mappings are in better agreement with Gene Ontology (GO) (Ashburner et al., 2000) than any other network aligners.

DOI: http://dx.doi.org/10.7554/eLife.09008.005 10.7554/eLiFigure08.006 Figure 1 figure supplement 1. Genome-wide synthetic lethal interaction mappings of the lsk1Δ and rpb1 S2A mutants link Rpb1 CTD S2P to chromatin biology.

Based on such systematic comparative evaluations on various large-scale networks, originating both from physical and genetic interaction mappings, one could provide the users with a practical guidance on how to choose a preferable layout algorithm for different network types and their characteristic properties.

Finally, using our novel semantic similarity measure of the interaction mappings and the ability of L-GRAAL to produce alignments by using both topological and sequence similarity, we observe for the first time that topological similarity plays a more important role than sequence similarity in uncovering functionally conserved interactions, a result that escaped all previous approaches.

Our results suggest that when using one-to-one mapping between signals and responses both types of cascades tend to operate though non-linear interactions, although mappings from cues to intracellular signals are likely to be more dramatically nonlinear than mappings from signals to responses.

Rather than reporting only true-positive interactions, these systematic mappings of the quantitative Kd and Ki bioactivity spectra in standardized settings provide broader insights into the interaction patterns across wide panels kinase inhibitors and their potential cellular targets for model evaluation purposes.

Psycho-physiological interactions and Granger causality mappings can be used as exploratory tools to identify directional interactions between a given reference region (e.g. ipsilesional motor cortex) and all other regions in the brain.

We first integrate all databases into a freely available data portal – mirDIP (microRNA Data Integration Portal) – and use NAViGaTOR (Network Analysis, Visualization and Graphing Toronto) [41] to analyze and visualize the resulting network of microRNA:mRNA target mappings – the microRNA interaction network (micronome).

Recently, a quantitative variant of the genetic interaction screen was developed, termed Epistasis-Mapping (E-MAP)[ 9], and to date several thousand interactions have been published.

3. Mapping: there are clear mappings between leukocyte and ISWBC components and their interactions because in silico observables have been designed to be consistent with those of the referent in vitro flow chambers.