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Finally, hypothesis testing was done by comparing the means between AUCrandom and AUCpartial to test whether the predictive model performed better than random expectations.
Here, an AUC value of ≤ 0.5 indicates a performance that is no better than random expectations, whereas, a value of one indicates perfect discrimination (Thuiller et al. 2005).
Neanderthal ECNM niche projections were able to predict the distribution of this adaptive system from pre-H4 to H4 and H4 to GI8 (Table 1) better than random expectations (P<0.05).
A cumulative binomial statistic is applied to these values to determine whether the coincidence between projected predictions and independent test points is significantly better than random expectations (Table 1).
The non-native grass carp model, although it performed statistically significantly better than random expectations, nonetheless had a 19.8% omission rate, owing to several points falling within small areas predicted by few or none of the best-subsets models.
All tests in this study found that independent sets of test points coincided with ENMs predictions, which were significantly better than random expectations (Table 3).
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The Clustering Improvement Factor (CIF, fold better clustering than random expectation) estimate for each of the syndromes is shown along the periphery.
Preliminary analyses of these geographic distributions, based on random subsets of the few data points available, indicated high statistical significance to model predictions: predictions of the geographic distribution of filovirus HFs correctly included random independent subsets much better than random model expectations (all p < 10-7).
First, two cooperative TFs should share a significantly larger set of target genes than random expectation.
Higher proportion of CNSs has lower derived alleles than random expectation.
Primates and rodents (euarchontoglires) have higher proportion of intronic CNSs than random expectation (binomial P < 10−).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com