Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Reader reaction on the fast small-sample kernel independence test for microbiome community-level association analysis.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • المؤلفون: Guo B;Guo B; Wu B; Wu B
  • المصدر:
    Biometrics [Biometrics] 2018 Sep; Vol. 74 (3), pp. 1120-1124. Date of Electronic Publication: 2017 Nov 29.
  • نوع النشر :
    Journal Article; Research Support, N.I.H., Extramural
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Oxford University Press Country of Publication: England NLM ID: 0370625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE
    • بيانات النشر:
      Publication: March 2024- : [Oxford] : Oxford University Press
      Original Publication: Alexandria Va : Biometric Society
    • الموضوع:
    • نبذة مختصرة :
      Zhan et al. () presented a kernel RV coefficient (KRV) test to evaluate the overall association between host gene expression and microbiome composition, and showed its competitive performance compared to existing methods. In this article, we clarify the close relation of KRV to the existing generalized RV (GRV) coefficient, and show that KRV and GRV have very similar performance. Although the KRV test could control the type I error rate well at 1% and 5% levels, we show that it could largely underestimate p-values at small significance levels leading to significantly inflated type I errors. As a partial remedy, we propose an alternative p-value calculation, which is efficient and more accurate than KRV p-value at small significance levels. We recommend that small KRV test p-values should always be accompanied and verified by the permutation p-value in practice. In addition, we analytically show that KRV can be written as a form of correlation coefficient, which can dramatically expedite its computation and make permutation p-value calculation more efficient.
      (© 2017, The International Biometric Society.)
    • References:
      Genome Biol. 2015 Apr 08;16:67. (PMID: 25887922)
      Cancer Res. 1967 Feb;27(2):209-20. (PMID: 6018555)
      Am J Hum Genet. 2015 May 7;96(5):797-807. (PMID: 25957468)
      Genet Epidemiol. 2016 Feb;40(2):91-100. (PMID: 26782911)
      Bioinformatics. 2013 Oct 15;29(20):2555-63. (PMID: 23918252)
      Biometrics. 2017 Dec;73(4):1453-1463. (PMID: 28295177)
    • Grant Information:
      R01 CA134848 United States CA NCI NIH HHS; R01 GM083345 United States GM NIGMS NIH HHS
    • Contributed Indexing:
      Keywords: Gamma distribution; Kurtosis; Microbiome; RV coefficient; Skewness
    • الموضوع:
      Date Created: 20171202 Date Completed: 20190401 Latest Revision: 20191008
    • الموضوع:
      20250114
    • الرقم المعرف:
      PMC5975113
    • الرقم المعرف:
      10.1111/biom.12823
    • الرقم المعرف:
      29192963