Fast and Accurate Calculation of a Computationally Intensive Statistic for Mapping Disease Genes-Reference-Cited by-同舟云学术

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Fast and Accurate Calculation of a Computationally Intensive Statistic for Mapping Disease Genes

Published:2009-05 Issue:5 Volume:16 Page:659-676
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Seok Sang-Cheol¹,Evans Michael²,Vieland Veronica J.¹³

Affiliation:

1. Battelle Center for Mathematical Medicine, The Research Institute at Nationwide Children's Hospital, Columbus, Ohio.

2. Department of Statistics, University of Toronto, Toronto, Ontario, Canada.

3. Departments of Pediatrics and Statistics, The Ohio State University, Columbus, Ohio.

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/cmb.2008.0175

Reference27 articles.

1. Accumulating quantitative trait linkage evidence across multiple datasets using the posterior probability of linkage

2. Two novel quantitative trait linkage analysis statistics based on the posterior probability of linkage: application to the COGA families

3. Examination of Potential Overlap in Autism and Language Loci on Chromosomes 2, 7, and 13 in Two Independent Samples Ascertained for Specific Language Impairment

4. Effects of Updating Linkage Evidence across Subsets of Data: Reanalysis of the Autism Genetic Resource Exchange Data Set

5. Algorithm 698: DCUHRE

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4. A genome-wide linkage study of autism spectrum disorder and the broad autism phenotype in extended pedigrees;Journal of Neurodevelopmental Disorders;2018-06-11

5. Next-generation linkage and association methods applied to hypertension: a multifaceted approach to the analysis of sequence data;BMC Proceedings;2014-06

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