Sentence examples for biased contribution from inspiring English sources
In blastocysts derived from the two-cell parthenotes with unevenly-sized blastomeres, no biased contribution was found in the progeny of either blastomere.
Inclusion of all STEC isolates would have given a biased contribution of the different parameters due to overrepresentation of isolates involved in outbreaks.
Some studies have also showed a parent-specific expression dominance in the synthetic allohexaploid wheat transcriptome, involving a biased contribution from the AB (tetraploid) genome parent [ 43, 45], though others have not detected any genome dominance [ 44].
The ePluribus approach to evaluation biased contributions submitted earlier because later submissions did not have enough time to accrue as many points as earlier contributions.
The results also indicated that the tracer discriminatory weighting should be excluded as it tends to bias contribution estimates.
In the tissues that have been studied in Gossypium and Arabidopsis, it appears that both species demonstrate biased parental contributions to the transcriptome, however, in Gossypium these biases can favor either parental genome, whereas in Arabidoposis only the A. arenosa parent has demonstrated dominance.
ICs are based on singular value decomposition and have an interpretation in terms of bias contributions of an interaction on the estimation of the overall mean.
We demonstrate why bias contributions should also be included in AAR uncertainty estimation and recommend that the preparation of defined reference materials are seen as a priority in order to control and correct for systematic error influences in the analytical system.
However, the mass-bias contributions by instrumental mass discrimination and laser-induced elemental fractionation need to be determined independently.
We discretized the regulation of differentially expressed genes into three levels; upregulated (+1), downregulated (-1) and not regulated (0), such that the final conclusion is not biased by the contribution of individual experiments.
Parameter estimation using linearized data that might be affected with random measurement errors of constant magnitude may however be biased, as the contribution of the error increases as the data value decreases.
