Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Kruskal-Wallis Test01:19

Kruskal-Wallis Test

1.4K
The Kruskal-Wallis test, also known as the Kruskal-Wallis H test, serves as a nonparametric alternative to the one-way ANOVA, offering a solution for analyzing the differences across three or more independent groups based on a single, ordinal-dependent variable. This statistical test is particularly valuable in scenarios where the data does not meet the normal distribution assumption required by its parametric counterparts. Kruskal-Wallis test is designed typically to handle ordinal data or...
1.4K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

4.3K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
4.3K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

804
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
804
Test for Homogeneity01:23

Test for Homogeneity

2.5K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.5K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

554
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
554
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
16.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Non-Invasive Detection of Coronary Artery Disease and Valvular Disorders Using a Multichannel PCG Vest.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Chemical Tomography of Cancer Organoids and Cyto-Proteo-Genomic Development Stages Through Chemical Communication Signals.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

Enhancing cross-domain robustness in phonocardiogram signal classification using domain-invariant preprocessing and transfer learning.

Computer methods and programs in biomedicine·2024
Same author

Fano resonances in tilted Weyl semimetals in an oscillating quantum well.

Journal of physics. Condensed matter : an Institute of Physics journal·2024
Same author

Optimization of EWOC principle in BLRM design for phase 1 oncology trials.

Journal of biopharmaceutical statistics·2024
Same author

Association between F2-isoprostanes and self-reported stressors in pregnant americans of African and European ancestry.

Heliyon·2024
Same journal

Applying Bayesian Multivariable Mendelian Randomisation to Prioritise Candidate Causal Traits From High-Dimensional Data: Illustration From Estimation of the Effect of Maternal Metabolites on Offspring Birthweight.

Genetic epidemiology·2026
Same journal

Individualized Bayesian Inference Identifies Novel Genetic Variants for Parkinson's Disease.

Genetic epidemiology·2026
Same journal

DRIVE v3: Command Line Application for Identity-by-Descent Haplotype Clustering in Large Biobank Scale Data.

Genetic epidemiology·2026
Same journal

Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.

Genetic epidemiology·2026
Same journal

Polygenic Risk Scores for Incident Dementia in the Multi-Ethnic Study of Atherosclerosis.

Genetic epidemiology·2026
Same journal

Outcome and Exposure Polygenic Risk Scores Can Help Reduce Information Bias and Selection Bias in Regression Estimates From Biobank Data.

Genetic epidemiology·2026
See all related articles

Related Experiment Video

Updated: Mar 9, 2026

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K

A small-sample multivariate kernel machine test for microbiome association studies.

Xiang Zhan1, Xingwei Tong2, Ni Zhao3

  • 1Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Genetic Epidemiology
|December 27, 2016
PubMed
Summary
This summary is machine-generated.

We developed a new method, multivariate microbiome regression-based kernel association test (MMiRKAT), to analyze the human microbiome

Keywords:
Bray-CurtisUniFrackernel association testmultivariate outcomessmall sample

More Related Videos

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

17.7K

Related Experiment Videos

Last Updated: Mar 9, 2026

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.4K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

17.7K

Area of Science:

  • Microbiome research
  • Statistical genetics
  • Computational biology

Background:

  • High-throughput sequencing enables large-scale human microbiome studies.
  • Microbiome association tests link microbial communities to health outcomes.
  • Current methods analyze only single outcomes, limiting discovery potential.

Purpose of the Study:

  • To develop a novel statistical method for analyzing associations between microbiome composition and multiple health outcomes simultaneously.
  • To improve statistical power and signal detection by jointly analyzing related outcomes.
  • To address limitations of single-outcome microbiome association tests.

Main Methods:

  • Proposed the multivariate microbiome regression-based kernel association test (MMiRKAT).
  • Utilized semiparametric kernel machine regression with Bray-Curtis or UniFrac distances.
  • Incorporated a small-sample correction procedure for improved performance in studies with limited sample sizes.
  • Employed a variance-component score test for association evaluation.

Main Results:

  • MMiRKAT demonstrated increased power compared to existing large-sample multivariate methods.
  • The method effectively controlled Type I error rates.
  • Simulations and real-data application confirmed MMiRKAT's efficacy.
  • Showcased association between host gene expression and mucosal microbiome composition.

Conclusions:

  • MMiRKAT offers a powerful approach for microbiome-wide association studies with multiple outcomes.
  • The small-sample correction enhances its applicability to common microbiome study sizes.
  • This method facilitates a more comprehensive understanding of microbiome-host interactions.
  • An R implementation is freely available for broader scientific use.