Sentence examples for over a given set from inspiring English sources
eSynth considers molecular bonding over a given set of rigid and linker fragments restricted by the laws of chemistry.
Finally, we introduce a more flexible notion of inseparability which compares answers to conjunctive queries in a given signature over a given set of individuals.
The network has to be designed to be feasible and optimal over a given set of scenarios in which different operational conditions hold.
The network design has to be feasible and optimal over a given set of scenarios in which different operational conditions hold.
However, most such results are based on analyses of static networks, i.e. networks with invariant topology over a given set of molecules.
While any phylogenetic tree over a given set of species can be represented in this way in the linear cone R + 2 n − 1, the converse is obviously not true: Assume that e and e′ are two incompatible edges, any coordinates in the linear cone that have positive entries for e and e′ do not correspond to any legit phylogenetic tree.
This method identifies terms that are over-represented within a given set of proteins compared with the whole proteome.
In brief, TANGO calculates the statistical significance of GO categories' over-representation within a given set of genes by computing the upper tail of the hypergeometric distribution.
Marguerite is an exact algorithm that searches exhaustively for regular expression-type patterns that are over-represented in a given set of sequences (positive set) and under-represented in a different but related set of sequences (negative set) without any a priori about these patterns excepted their minimal length.
In order to profile the functions of the genes whose expression was modified during this time period, we used the GOstat server [ 11], which searches for Gene Ontology (GO) terms [ 12] significantly under- and over-represented in a given set of probe sets or genes in relation to a reference set (see Methods for details).
These programs identify statistically over-represented motifs in a given set of upstream sequences.
