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On most test datasets, Hybrid consumes the least runtime.
The N/A rates in most test datasets were very low (<5%, Additional file 1: Table S2).
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The experimental results show that both MIFE-C2B and MIFE-B2B obtain competitive classification performance, and MIFE-B2B obtains the best performance on most tested datasets.
The dimensionality reduction results show that both MIFE-C2B and MIFE-B2B obtain their best performance with no more than approximately 30% of the original dimensions on most tested datasets.
DNN overall outperformed the rest methods across most tested datasets, when dealt with noisy data their performance in several datasets dropped below that of other methods included in the study indicating that these methods might be more sensitive to noise that the rest methods.
In most test experiments, the NGS datasets were clustered with SEED.
Because there are no standard criteria to guide the selection of test datasets, most studies focus on a few well-known datasets (e.g., NKI295 [ 17]).
Although only a limited number of patient and tumour characteristics were available (Table 2), it seems that the most accurate predictions are achieved for test datasets that have characteristics most similar to those of the individual or combined training dataset.
The test datasets represented 20% of the most recent websites identified within both the fake escrow services and HYIP datasets.
These four datasets that performed poorly with most test signatures and resulted in predictions with high false-negative rates were subsequently removed before performing further survival analyses.
Most of top37 signatures (33/37) had significant Q values in more than 50% of test datasets except the three signatures (PMID12714683Sig29, PMID19014521Sig72, PMID21501481Sig224) having the significant Q values in 48% test datasets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com