Sentence examples for interactions generated from from inspiring English sources
To identify these RVs, she will leverage massive datasets of high-throughput profiles of gene expression and protein-RNA interactions generated from large cohorts of normal and disease human tissues and cell lines by multiple consortia, such as ENCODE, GTEx and CommonMind, and develop innovative computational methods of data mining.
This can be ascribed to the preferable dispersion of Ce-based sub-micro particles (CeO2 and CeFeO3) and enhanced Fe-Ce interactions generated from active sites at the contact interface between iron oxides (mainly Fe3O4 particles) and Ce-based sub-micro particles (CeO2 and CeFeO3) after cycling.
Additional file 7: Figure S3A-C illustrates the complete set of interactions generated from the different methods that were used for the assessment of interaction effects.
This finding was threshold dependent, however, and a relatively large shear stress (0.2409 N/m) generated enough force to overcome any cell-protein interactions generated from flow [ 44].
Of the ten strongest interactions generated from the three different algorithms, none represents pairs of markers that have previous been reported to interact in the susceptibility to MDD.
Due to its natural interactions generated from experimental data, this network would provide accurate interactions between miRNA and their targets, and results generated from this network would be reliable.
ATLAS is one of the two large multi-purpose experiments that should study 14 TeV proton proton interactions generated by LHC from 2007 onwards.
Prior studies in yeast suggest that the topology of protein-protein interaction networks generated from physical interaction assays can offer important insight into protein function.
For example, Pearson recently launched a campaign where about 1,200 employees donated to the cause and 900 social media interactions were generated from employees.
Putative networks of correlated genetic interactions were generated from annotation information, using the MLE algorithm [ 26], as implemented in the Cytoprophet plugin [ 24] of Cytoscape [ 25].
In order to better understand miRNA-mRNA regulatory relationships, we constructed respective interaction networks among negatively and positively correlated interaction groups, using the miRNA-mRNA interaction universe generated from miRecords predicted (consensus of at least 4 tools) and validated interactions (described in Materials and Methods).
