Sentence examples for phenotypic conditions from inspiring English sources
For example, hosts of one sex, of a certain age, in certain phenotypic conditions, with a higher inbreeding level or of specific genotypes may be more often found to be infected by parasites [8] [11].
Then, given selected modules, we can further infer datasets (phenotypic conditions) in which a module is activated, i.e. in which genes in the module coordinate.
Other than the technical differences between the experiments, we hypothesize that the proportion of the splicing patterns may be specific to different phenotypic conditions.
Finally, it is well known that tandem repeats are associated with a number of diseases and phenotypic conditions, and that allelic repeat length variation in protein-coding sequences has been linked with morphological evolution [e.g., [ 31, 34]].
One of the most commonly used is the Gene Set Enrichment Analysis (GSEA), which allows statistical assessment of coordinated expression changes of a pre-defined set of genes between pairs of phenotypic conditions [ 1, 2].
For an abrogated feature selection, i.e., using all expressed genes that have read counts of ⊝ = 1 or larger, the higher moments of the distribution of expressed genes showed a much better sensitivity for the signal detection of differing phenotypic conditions than the corresponding mean values (Table 6 ).
We show that phenotypic condition of both sexes had sizeable independent and interactive effects on mating and reproductive output.
Here, we studied the effects of phenotypic condition on mating behaviour, ejaculate size and reproductive output in honeylocust beetles, Megabruchidius dorsalis.
Coupling these phenotypic data with microarray analyses provides loci that may lead to the sterile phenotypic condition of hybrids.
Having obtained point estimates for all the genes, studies of differential expression between pairs of phenotypes are carried out by comparing the collections of point estimates under the phenotypes, using a t-type statistic such as in SAM [73], Cyber-T [74] or Limma [75], all of which rely on the availability of replicate subjects in each phenotypic condition, for estimation of variances.
Statistical analyses have been performed on the severe phenotypic condition.
