Learning to Align: A Statistical Approach
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-540-74825-0_3
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3. Goldberg, M., Breimer, E.: Learning Significant Alignments: An Alternative to Normalized Local Alignment. In: Proceedings of the International Symposium on Methodologies for Intelligent Systems, pp. 37–45 (2002)
4. Gusfield, D., Balasubramanian, K., Naor, D.: Parametric optimization of sequence alignment. Algorithmica 12, 312–326 (1994)
5. Gusfield, D., Stelling, P.: Parametric and inverse-parametric sequence alignment with XPARAL. Methods in Enzymology 266, 481–494 (1996)
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1. A sum-over-paths extension of edit distances accounting for all sequence alignments;Pattern Recognition;2011-06
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