IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v64y2008i1p198-207.html
   My bibliography  Save this article

Genome Scanning Tests for Comparing Amino Acid Sequences Between Groups

Author

Listed:
  • Peter B. Gilbert
  • Chunyuan Wu
  • David V. Jobes

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:1:p:198-207
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00845.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Kowalski J. & Pagano M. & DeGruttola V., 2002. "A Nonparametric Test of Gene Region Heterogeneity Associated With Phenotype," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 398-408, June.
    3. Efron, Bradley, 2004. "Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 96-104, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Craig A Magaret & David C Benkeser & Brian D Williamson & Bhavesh R Borate & Lindsay N Carpp & Ivelin S Georgiev & Ian Setliff & Adam S Dingens & Noah Simon & Marco Carone & Christopher Simpkins & Dav, 2019. "Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-35, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. D. Gunzler & W. Tang & N. Lu & P. Wu & X. Tu, 2014. "A Class of Distribution-Free Models for Longitudinal Mediation Analysis," Psychometrika, Springer;The Psychometric Society, vol. 79(4), pages 543-568, October.
    2. Pounds Stanley B. & Gao Cuilan L. & Zhang Hui, 2012. "Empirical Bayesian Selection of Hypothesis Testing Procedures for Analysis of Sequence Count Expression Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(5), pages 1-32, October.
    3. Hai Shu & Bin Nan & Robert Koeppe, 2015. "Multiple testing for neuroimaging via hidden Markov random field," Biometrics, The International Biometric Society, vol. 71(3), pages 741-750, September.
    4. Yong Wang, 2009. "The constrained Fisher scoring method for maximum likelihood computation of a nonparametric mixing distribution," Computational Statistics, Springer, vol. 24(1), pages 67-81, February.
    5. Bilgrau, Anders Ellern & Eriksen, Poul Svante & Rasmussen, Jakob Gulddahl & Johnsen, Hans Erik & Dybkaer, Karen & Boegsted, Martin, 2016. "GMCM: Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i02).
    6. Gary L Gadbury & Qinfang Xiang & Lin Yang & Stephen Barnes & Grier P Page & David B Allison, 2008. "Evaluating Statistical Methods Using Plasmode Data Sets in the Age of Massive Public Databases: An Illustration Using False Discovery Rates," PLOS Genetics, Public Library of Science, vol. 4(6), pages 1-8, June.
    7. Campbell R. Harvey & Yan Liu & Heqing Zhu, 2014. ". . . and the Cross-Section of Expected Returns," NBER Working Papers 20592, National Bureau of Economic Research, Inc.
    8. Shigeyuki Matsui & Hisashi Noma, 2011. "Estimating Effect Sizes of Differentially Expressed Genes for Power and Sample-Size Assessments in Microarray Experiments," Biometrics, The International Biometric Society, vol. 67(4), pages 1225-1235, December.
    9. Patrick Kline & Christopher Walters, 2019. "Audits as Evidence: Experiments, Ensembles, and Enforcement," Papers 1907.06622, arXiv.org, revised Jul 2019.
    10. Mark Hoekstra & CarlyWill Sloan, 2022. "Does Race Matter for Police Use of Force? Evidence from 911 Calls," American Economic Review, American Economic Association, vol. 112(3), pages 827-860, March.
    11. 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.
    12. Jeffery Caroline & Ozonoff Al & White Laura Forsberg & Pagano Marcello, 2013. "Distance-Based Mapping of Disease Risk," The International Journal of Biostatistics, De Gruyter, vol. 9(2), pages 265-290, May.
    13. Raphael Gottardo & Wei Li & W. Evan Johnson & X. Shirley Liu, 2008. "A Flexible and Powerful Bayesian Hierarchical Model for ChIP–Chip Experiments," Biometrics, The International Biometric Society, vol. 64(2), pages 468-478, June.
    14. Sairam Rayaprolu & Zhiyi Chi, 2021. "False Discovery Variance Reduction in Large Scale Simultaneous Hypothesis Tests," Methodology and Computing in Applied Probability, Springer, vol. 23(3), pages 711-733, September.
    15. Won, Joong-Ho & Lim, Johan & Yu, Donghyeon & Kim, Byung Soo & Kim, Kyunga, 2014. "Monotone false discovery rate," Statistics & Probability Letters, Elsevier, vol. 87(C), pages 86-93.
    16. repec:jss:jstsof:35:i05 is not listed on IDEAS
    17. David R. Bickel, 2014. "Small-scale Inference: Empirical Bayes and Confidence Methods for as Few as a Single Comparison," International Statistical Review, International Statistical Institute, vol. 82(3), pages 457-476, December.
    18. Pan, Lanfeng & Li, Yehua & He, Kevin & Li, Yanming & Li, Yi, 2020. "Generalized linear mixed models with Gaussian mixture random effects: Inference and application," Journal of Multivariate Analysis, Elsevier, vol. 175(C).
    19. van Wieringen, Wessel N. & Stam, Koen A. & Peeters, Carel F.W. & van de Wiel, Mark A., 2020. "Updating of the Gaussian graphical model through targeted penalized estimation," Journal of Multivariate Analysis, Elsevier, vol. 178(C).
    20. Ian W. McKeague & Min Qian, 2015. "An Adaptive Resampling Test for Detecting the Presence of Significant Predictors," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1422-1433, December.
    21. Angela Schörgendorfer & Adam J. Branscum & Timothy E. Hanson, 2013. "A Bayesian Goodness of Fit Test and Semiparametric Generalization of Logistic Regression with Measurement Data," Biometrics, The International Biometric Society, vol. 69(2), pages 508-519, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:64:y:2008:i:1:p:198-207. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.