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All of the implemented ensemble methods detected a striking anomaly in time series of TEC data, 1 day after the earthquake at 14 00 UTC.
Despite these differences, both methods detected a significant decline of Ne in Lokoué and in Lossi.
Two datasets showed similar spatial and temporal distributions of outbreaks when they were considered separately, but more advanced methods detected a significant difference in the joint spatio-temporal distribution.
Despite these differences, all methods detected a decrease in integration and correlation within the 9 ROIs in the DMN when switching from continuous rest to the continuous verbal 2-back working memory task.
Regarding Fulton's condition factor (FK), both methods detected a significant QTL in LG3.
Only the WebCARMA and BLASTN-LCA methods detected a relatively high fraction (∼10%) of eukaryotic DNA in the Rumen dataset.
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A total of 111 genes were detected with all four methods, whereas three of four methods detected an additional 194 genes (i.e., at least three of four methods detected 305 genes).
Both methods detect a true TWT by reprocessing the correlograms obtained by the MC method.
Although both methods detect a specific protein expression, they significantly differ from each other on what may explain the differences in the obtained results.
The PCR-DGGE method detected a low yeast and bacteria species diversity.
The proposed hybrid method detected a considerable number of anomalies 4 and 8 days preceding the earthquake.
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