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Application to two real microbiome datasets has demonstrated gains in power in testing the associations between human microbiome and diet intakes and habitual smoking.
More recently, publication of the Cancer Cell Line Encyclopedia [ 23] and the Genomics of drug sensitivity [ 24] datasets has demonstrated the power of integrative genomic and functional genomic approaches in identifying determinants of response to targeted therapies.
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The experimental results on MIRFLICKR and Caltech-256 datasets have demonstrated the effectiveness of our proposed methods.
Extensive experiments conducted on a series of large datasets have demonstrated that the proposed methods are superior to other classifiers in most cases.
Experimental results on both the public and real-time datasets have demonstrated the effectiveness and robustness of the proposed framework in detecting multiple events in surveillance videos.
Experimental results on PSAP2312 and two benchmark datasets have demonstrated the efficacy of the proposed PSAP.
Experiment results on bound datasets, unbound datasets, and independent datasets have demonstrated the efficacy of the proposed model.
Some studies with limited datasets have demonstrated the superiority of combination therapies [ 100, 101], whereas others did not show any significant difference [ 102, 103].
The experimental results based on real datasets have demonstrated that the proposed technique is truly more robust and efficient than traditional hierarchical clustering.
Preliminary experiments with artificial datasets have demonstrated that especially missing TFs (simulated by removing colums from T) can have a large negative effect on the ability to reconstruct the correct regulatory network (results not shown).
Recent studies [ 1, 5, 7] on LD patterns by large-scale genotyping datasets have demonstrated that LD in genic regions is strong at sizes roughly up to 100 to 200 kb.
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CEO of Professional Science Editing for Scientists @ prosciediting.com