Sentence examples for mutually exclusive distributions from inspiring English sources
The severity distribution will then be defined as a mixture of the corresponding mutually exclusive distributions.
In previous studies of functionally similar eukaryotic genes with mutually exclusive distributions, distinction between ancient paralogy with subsequent losses and multiple transfers was made based on two main criteria [ 11].
The functional equivalence of EFL and EF-1α would explain the mutually exclusive distributions of EFL and EF-1α genes amongst eukaryotes since EF-1α would be functionally redundant in eukaryotes with EFL-mediated translation elongation, and vice versa.
The mutually exclusive distribution characteristic of interval time-varying delays is made full use to deal with integral inequalities for products of vectors.
The essential eukaryotic translation elongation factor EF-1α and its distantly related paralog EFL (for EF-Like) are GTPases with a complex, mutually exclusive distribution.
Previous studies that have examined the relationship between BRAF and KRAS mutations in a wide range of colonic polyp and cancer tissue have found a mutually exclusive distribution of these mutations [7].
The mutually exclusive distribution of Emx2-mRNA and Emx2OS-ncRNA among cortico-cerebral neurons (the former expressed by CR neurons, the latter by CP neurons) suggested to us that reciprocal down-regulation between them might occur and that, in particular, Emx2OS-ncRNA might be implicated in repression of Emx2mRNA.
EFL is considered likely to perform the same canonical translation function as EF-1α due to their mutually exclusive distribution and the observation that EF-1α's binding sites for EF-1β, aminoacyl-tRNAs, and GTP are conserved in EFL [3], though no functional analyses of EFL have been carried out.
We found that GULO and GLDH have a mutually exclusive distribution.
The mutually exclusive distribution of EF-1α EF-1αFL suggests similandfunctionality.
In the green plants (Viridiplantae), EF-1α and EFL seem to show a mutually exclusive distribution.
