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"Analysis of both data sets shows a substantial and significant reduction in breast cancer deaths in association with mammographic screening".
A comparison of these two sets shows that 64% drugs in TTD also present in Drugbank.
The performance evaluation using balanced and imbalanced data sets shows that the proposed algorithm generates minimal network with lesser computation time to achieve higher classification performance.
An analysis of several data sets shows that the proposed approach can produce substantially different and arguably better results compared with other methods.
A comparative evaluation using publicly available data sets shows that our approach achieves state-of-the-art performance while being significantly faster than other methods.
Our extensive experimental evaluation on both real and static data sets shows the benefits achieved by AdOr in comparison to DivIDE and other diversification schemes.
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Many data sets show this.
Strove shows us data sets showing how vulnerable large parts of the ice mass has become.
Furthermore, these primer sets showed unique annealing curves.
Moderately sized test sets show the smallest variability.
Results of both sets show the same changes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com