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We propose a simple solution to Yao's millionaires' problem using thesubtractive homomorphic properties of the secret sharing schemes based on the Chinese remainder theorem (CRT).
We designed a new SVM for microRNA identification, whose novelty consist in the fact that many of its features incorporate the base-pairing probabilities provided by McCaskill's algorithm. Comparisons with other SVMs for microRNA identification prove that our SVM obtains competitive results. One of the advantages of our approach is that it makes no use of so-called normalised features which are based...
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