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Statistics in Molecular Biology and Genetics Selected Proceedings of a 1997 Joint Ams-Ims-Siam Summer Conference on Statistics in Molecular Biology (Lecture Notes-Monograph Series, V. 33)

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Published by Amer Mathematical Society .
Written in English

Subjects:

  • Life Sciences - Biology - Molecular Biology,
  • Life Sciences - Genetics & Genomics,
  • Science,
  • Congresses,
  • Genetics,
  • Molecular biology,
  • Statistical methods,
  • Science/Mathematics

Book details:

Edition Notes

ContributionsAmerican Mathematical Society (Corporate Author), Institute of Mathematical Statistics (Corporate Author), Society for Industrial and Applied Mathematics (Corporate Author), Francoise Seillier-Moiseiwitsch (Editor)
The Physical Object
FormatPaperback
Number of Pages313
ID Numbers
Open LibraryOL11538582M
ISBN 100940600471
ISBN 109780940600478

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Book Description. Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments. "Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray experiments. Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered.   Focusing on the roles of different segments of DNA, Statistics in Human Genetics and Molecular Biology provides a basic understanding of problems arising in the analysis of genetics and genomics. It presents statistical applications in genetic mapping, DNA/protein sequence alignment, and analyses of gene expression data from microarray s: 1.

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