Sentence examples for eliminating the selection from inspiring English sources

The model extends an existing model to the case of σmax being tension and σmin being tension or compression, and is derived based on physical, statistical and compatibility conditions, thus, eliminating the selection of arbitrary functions.

Any changes from GT or GC dinucleotides in the first two positions of the intron (5'SS) and AG dinucleotides in the last two positions of the intron (3'SS) by SNPs were considered; these mutations change a canonical splice site into a non-canonical one thus eliminating the selection of this exon by the splicing machinery.

That lifted the ceiling on prokaryotic genome size, eliminating the selection pressure to lose genes, but did not drive the accumulation of genes; it was permissive, not prescriptive.

It eliminates the selection marker during the process of negative screening, which facilitates the genetic manipulation of multiple genes and operons in both chromosome and megaplasmid.

After duplicates were eliminated, the selection of studies was carried out.

Unfortunately, by protecting the population from these forces, we also eliminate the selection imposed by those forces and thus slow or eliminate the adaptation process.

Furthermore, the multivariate analysis, which we aimed to eliminate the selection bias, revealed that the surgical procedure was not an independent prognostic factor for stage I EOC.

Text-mining is not able to eliminate the selection of false interaction pairs; in the case of LAITOR (contained in the PESCADOR platform), the type 3 and 4 interactions can present genes with no association specified in the text [ 20].

6 24 The high burden of comorbidity in this population is most likely explained by the computerised identification of patients which eliminated the selection and referral bias often seen in rehabilitation units, which is not in favour of the elderly and patients with comorbidity.

The value estimated by the Heckman selection eliminates the sample selection bias that arises from the specification error of the zero data.

The on-line identification method generates an estimate of the inverse titration curve as a continuous smooth function eliminating the need for selection of the important break points of the titration curve.