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The amount of shared sequential activation in C versus CI comparisons was also much greater than in reshuffled datasets revealing that the multicellular firing sequences present in coactivations without impinging input are also present in the coactivations receiving impinging inputs (62.6±16.8%; n = 480 movie pairs reshuffled mean: 45.6±0.3%, different with p<0.001) (Figure 4b).

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Parameter estimation using 2000 simulated datasets reveals that the proposed method provides more precise and less biased estimates, especially for small data sets.

Our experimental analysis on two different dynamic saliency benchmark datasets reveal that our models achieve better performance than the individual features.

Benchmarking experiments on 16 popular UCI datasets revealed that our algorithms could empirically generate accurate and significantly more compact decision lists.

Analysis of the ChIP-seq datasets revealed that more than half (57.33%) of Kbz signals were associated with gene promoters (defined as ±3 kb around the transcription start sites [TSSs]; Fig. 6a).

Empirical tests on two diverse benchmark datasets reveal that RAPID's predictive performance compares favorably to a comprehensive set of state-of-the-art disorder and disorder content predictors.

Extensive experiments conducted on the benchmark datasets reveal that the performance of pooling operations is associated with the distribution of convolved features.

Closer examination of the peptides in SRDS3 datasets reveals that SRDS3 datasets may contain several highly similar peptides (e.g., peptides with more than 80% sequence similarity).

The archival datasets reveal that these sharks display diverse behaviors and can tolerate very cold temperatures and extremely low oxygen levels.

Unsurprisingly, all three datasets revealed that these centered estimates provided much less positional resolution than the precise predictions of binding positions by other programs.

Comparison of this data set with complementary datasets reveals that of 184 previously identified regulators of fatty acid utilization or peroxisome biogenesis, 143 (78%) were identified by this study.

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