Download Intelligent Computing in Bioinformatics: 10th International by De-Shuang Huang, Kyungsook Han, Michael Gromiha PDF

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By De-Shuang Huang, Kyungsook Han, Michael Gromiha

This ebook – at the side of the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed court cases of the tenth overseas convention on clever Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The fifty eight papers of this quantity have been conscientiously reviewed and chosen from a variety of submissions. The papers are geared up in topical sections resembling computer studying; neural networks; photograph processing; computational structures biology and scientific informatics; biomedical informatics thought and techniques; advances on bio-inspired computing; protein and gene bioinformatics: research, algorithms, applications.

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Additional resources for Intelligent Computing in Bioinformatics: 10th International Conference, ICIC 2014, Taiyuan, China, August 3-6, 2014. Proceedings

Sample text

We design two strategies to ensemble ECOC coding matrixes, the first one called as Local Difference Maximum Selection (L-DMS). Different feature subsets to construct the problem dependent coding matrix, and the top coding matrixes are chosen to solve the original multi-class problem. The second is called as Global Difference Maximum Selection (G-DMS). Different algorithms are applied to construct coding matrixes, and for each algorithm, different feature subsets are used. Then, we calculate the global difference degree and choose top coding matrixes with 20 Z.

The Interstrand Amino Acid Pairs Play a Significant Role in Determining The Parallel or Antiparallel Orientation of Beta-Strands. Biochemical and Biophysical Research Communications 386(3), 537–543 (2009) 15. : Prediction of the Parallel/Antiparallel Orientation of Beta-Strands Using Amino Acid Pairing Preferences and Support Vector Machines. Journal of Theoretical Biology 263(3), 360–368 (2010) 16. : Specific Recognition in the Tertiary Structure of Beta-Sheets of Proteins. Journal of Molecular Biology 139(4), 627–639 (1980) 17.

Biophysical Journal 83(2), 1205–1216 (2002) 7. : Protein Beta-Sheet Nucleation is Driven by Local Modular Formation. Journal of Biological Chemistry 285(24), 18376–18384 (2010) 8. : Computational Design and Experimental Testing of the Fastest-Folding Beta-Sheet Protein. J. Mol. Biol. 405(1), 43–48 (2011) 9. : Studies on the Rules of Beta-Strand Alignment in a Protein Beta-Sheet Structure. Journal of Theoretical Biology 285(1), 69–76 (2011) 8 L. Tang et al. 10. : The Mechanism of Antiparallel Beta-Sheet Formation Based on Conditioned Self-Avoiding Walk.

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