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Titlebook: Computational Intelligence in Biomedicine and Bioinformatics; Current Trends and A Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-E Book

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發(fā)表于 2025-3-26 23:54:00 | 只看該作者
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IT Strategy — Using IT for Value Creation achieve good results without local search methods. By testing some benchmark two-dimensional hydrophobic-polar (2D-HP) protein sequences, the performance shows that the proposed algorithm is quite competitive compared with some other well-known methods for solving the same protein folding problems.
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發(fā)表于 2025-3-27 11:11:24 | 只看該作者
IT Strategy — Using IT for Value Creation in an effort to identify rRNA genes in genomes outside of the training set..Results: The values for the stem-loop metrics we tested are sensitive to G+C content. Two of the metrics reported here are able to identify rRNA genes when there is a marked difference in G+C content between rRNAs and their
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發(fā)表于 2025-3-28 13:55:09 | 只看該作者
The Use of Rough Sets as a Data Mining Tool for Experimental Bio-datahe computing community. However, due to the mathematical nature of the Rough Sets methodology, many experimental scientists lacking sufficient mathematical background have been hesitant to use it. The goal of this chapter is twofold: (1) to introduce “Rough Sets” methodology (along with one of its d
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