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Statistical Measures of DNA Sequence Dissimilarity under Markov Chain Models of Base Composition

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  • Tiee-Jian Wu
  • Ya-Ching Hsieh
  • Lung-An Li

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  • Tiee-Jian Wu & Ya-Ching Hsieh & Lung-An Li, 2001. "Statistical Measures of DNA Sequence Dissimilarity under Markov Chain Models of Base Composition," Biometrics, The International Biometric Society, vol. 57(2), pages 441-448, June.
    • Handle: RePEc:bla:biomet:v:57:y:2001:i:2:p:441-448
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2001.00441.x
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    1. repec:jss:jstsof:35:i05 is not listed on IDEAS
    2. Peter B. Gilbert & Chunyuan Wu & David V. Jobes, 2008. "Genome Scanning Tests for Comparing Amino Acid Sequences Between Groups," Biometrics, The International Biometric Society, vol. 64(1), pages 198-207, March.
    3. Marcello D’Agostino & Valentino Dardanoni, 2009. "What’s so special about Euclidean distance?," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(2), pages 211-233, August.
    4. Qian, Kun & Luan, Yihui, 2017. "Weighted measures based on maximizing deviation for alignment-free sequence comparison," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 235-242.
    5. Keng-Hoong Ng & Chin-Kuan Ho & Somnuk Phon-Amnuaisuk, 2012. "A Hybrid Distance Measure for Clustering Expressed Sequence Tags Originating from the Same Gene Family," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-14, October.

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