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It is likely that variability between these features as well as gender and race may also account for differences observed in the prognostic utility of methylation markers across various studies.
The spinning Kanizsa display examines the trade-off between these features as a function of the rate at which the elements spin.
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To further enhance our understanding of the association between these features and AS, we cluster our investigated features based on their association patterns with each AS type into four groups, with H3K36me3, EGR1, GABP, SRF, SIN3A and RNA Pol II grouped together and showing strongest association with AS.
In the course of this analysis we also identified a variety of correlations between intron features, as well as between intron features and structural features encoded at the respective exon-exon boundaries (data not shown).
Since independence of features cannot be assumed a priori, we adjusted the selection procedure to consider the mutual correlation between features as well as their separation power.
Many planners failed to draw due distinctions between these features and, as Jane Jacobs observes (1961), they deplored them equally.
Correlations between VLDLR II and clinical features, as well as β-catenin expression status were evaluated by statistical analysis.
Three recent studies used different approaches to reconstruct the 3D chromatin landscape of naive and primed pluripotent cells, unveiling common features as well as differences between these two states.
The relationship between CCNL1 gene alterations and pathological features as well as clinical outcome is reported.
In our method, a mutual information measure is used to calculate the information gain among features as well as between feature and class attributes.
We did that for all global and difference features as well as every combination between local features and window lengths.
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