Spline Methods for the Comparison of Physical and Genetic Maps-Reference-Cited by-同舟云学术

Spline Methods for the Comparison of Physical and Genetic Maps

Published:2002-06 Issue:3 Volume:9 Page:465-475
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Berloff Natalia¹,Perola Markus²,Lange Kenneth³

Affiliation:

1. Department of Mathematics, University of California, Los Angeles, CA 90095

2. Department of Human Genetics, University of California, Los Angeles, CA 90095

3. Department of Human Genetics, University of California, Los Angeles, CA 90095; Department of Statistics, University of California, Los Angeles, CA 90095 and Department of Biomathematics, University of California, Los Angeles, CA 90095

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/106652702760138565

Reference16 articles.

1. Comprehensive Human Genetic Maps: Individual and Sex-Specific Variation in Recombination

2. Centre d'Etude du polymorphisme humain (CEPH): Collaborative genetic mapping of the human genome

3. The DNA sequence of human chromosome 22

4. The probable errors of calculated linkage values, and the most accurate method of determining gametic from certain zygotic series

5. Smoothing Spline Density Estimation: Theory

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