Sentence examples for dissimilar categories from inspiring English sources

By applying Hamling's method, one can group dissimilar categories to permit more consistent comparisons across disparate studies (eg, a meta-analysis of any smoking exposure vs. no smoking exposure).

If two stimuli are from sufficiently dissimilar categories, the membership information encoded in the lateral connections should push the representations out of phase in a more precise way, even when the stimuli are close or partially overlapping on the retina.

The DT40 genome contains 1251 nonsynonymous mutations classified as radical, the chemically most dissimilar category of amino acid substitution.

For conditions in the dissimilar category, we used additional analyses or information to suggest one peak list likely to be more reliable than the other(s).

Bowers and Jones [3] compared basic level categorization between dissimilar basic categories (dogs vs. buses) or very similar categories (dogs vs. cats).

Further, ANOVA analysis was applied using the "similar stranger" and "dissimilar stranger" categories as an additional "between subjects" factor.

Comparative analysis was done between three groups of respondents with different category leading to confirmation of argument through divergence with dissimilar conclusions in some areas, while the severity of perception and need was placed differently, but the intention was similar in other areas (Table  3).

A dissimilar-task-switch occurred when participants had to apply a rule from a different category compared to the previous trial.

A dissimilar-task-switch occurred when participants had to apply a task from a different category compared to the previous trial.

Disease-associated variants in different disease categories show dissimilar enrichment patterns within diverse regulatory elements, implying distinct priority of regulatory pathogenic mechanisms for different type of disease variants.

Statistical comparisons were not performed for food establishment differences because an objective of clustering is to make the categories as dissimilar as possible, and the statistical significance of this dissimilarity is not meaningful to this analysis.