Sentence examples for biased characterization from inspiring English sources

Exact(1)

Biomimetic models of mucosae in which mucus production has been considered may not be able to fully reproduce the amount and architecture of mucus, resulting in biased characterization of permeability/absorption.

Similar(59)

This approach removes the overemphasis of the existing methods either on the first or the second law of thermodynamics which often biases the characterization results.

As the three specimens of D. holocanthus that we sampled are all around 105 mm, we cannot fully exclude that there is an ontogenetic effect biasing the characterization of the ocular morphology of this species.

Thus, if we assumed that this distribution corresponded with a 'no-exposure' scenario and subsequently observed further reductions in FEV1% given the simulated exposures in our study, we would be systematically biased in our characterization of asthma severity.

This suggests either a characterization or mutational bias (characterized genes, most of which have been identified through mutant alleles, are significantly longer in both ORF and UIR than uncharacterized genes, data not shown), or, more likely in our view, genuine enrichment for mutant phenotypes.

Simultaneous advances in the structural and functional characterization of 7TMR biased signaling have altered how we understand promiscuous chemokine CKR interactions.

We also found that the missed cases differed from the ICD-9 identified cases in ways that could bias treatment characterization and outcomes research (eg, lower BTA treatment and higher SRE rates for missed cases).

Our results indicate that functional characterization of human genes is biased against young, tissue-specific genes that are mostly medically relevant.

Concerning methodological issues, non-linear characterization methods are extremely sensitive to noise and biased when applied to short data sets [ 24, 28].

Characterizations of transcription factor targets tend to be biased if DNA microarrays are not used (Iyer et al. 2001).

was biased.

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