Sentence examples for thus be rejected from inspiring English sources

This is a particular problem for multi-domain proteins where a genomic fragment may cross two domains and thus be rejected in the crosscheck if part of the fragment has a better match to a shared ancestral conserved domain on a non-homologous protein.

A (seemingly self-evident) conclusion that the deficits reported here may be caused by a specific damage to the M system can thus be rejected.

The hypothesis that there was an equal chance that the effect is stronger in either tissue could thus be rejected (p = 2.74 × 10−5, binomial test see Additional file 6).

This is probably because it easier to identify single coughs using acoustic systems than manometry, where a single rapid pressure changes could represent either cough or artefact, such as clearing of the throat, and thus be rejected on a cautionary level by the observer.

The models of Grovum and Williams (1973), Dhanoa et al. (1985) and the G2G1 model of Pond et al. (1988) failed to converge with 6 out of the 9 faecal excretion data collected; thus were rejected from further analysis.

Two case studies are presented in which quality control samples and standards meet all acceptance criteria (based on Standard Operating Procedures and the Food and Drug Administration's recommendations for bioanalytical method validation) but failed the proposed system suitability test, and thus were rejected.

If Eq. (20) is used to search for the correct cycle slip candidate pair, it is possible that the correct cycle slip pair might not satisfy the Eq. (20) and thus is rejected.

Two sows of the fish oil fed group gave birth to less than 3 piglets and thus were rejected.

However, this solution would decrease the quality of the other respective sub-scales and thus was rejected.

Further, it is possible that a large farm will remain infected for longer and has a smaller recovery rate but this does not improve model fit, and thus was rejected.

For this lack-of-fit test, the null hypothesis is that there is no bias that bias error and pure error are approximately the same; the null hypothesis thus is rejected when an F-statistic comparing bias error to pure error exceeds a critical value.