Multidimensional Sequence Alignment Methods for Activity Pattern Analysis: A comparison of dynamic programming and genetic algorithms Chang-Hyeon Joh, Theo A. Arentze and Harry J.P. Timmermans1

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Date: 2012-12-28 04:53:30 Computational phylogenetics Multivariate statistics Data mining Sequence alignment Cluster analysis Nucleic acid sequence Pattern recognition Statistics Machine learning Bioinformatics		Multidimensional Sequence Alignment Methods for Activity Pattern Analysis: A comparison of dynamic programming and genetic algorithms Chang-Hyeon Joh, Theo A. Arentze and Harry J.P. Timmermans1 Add to Reading List Source URL: www-sre.wu-wien.ac.at Download Document from Source Website File Size: 114,46 KB Share Document on Facebook