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

Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

You might also read

Related Articles

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

Sort by
Same author

Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population.

Journal of translational medicine·2020
Same author

Low-Energy Shockwave Treatment Promotes Endothelial Progenitor Cell Homing to the Stenotic Pig Kidney.

Cell transplantation·2020
Same author

Transplanted senescent renal scattered tubular-like cells induce injury in the mouse kidney.

American journal of physiology. Renal physiology·2020
Same author

Mesenchymal Stem Cell-Derived Extracellular Vesicles Induce Regulatory T Cells to Ameliorate Chronic Kidney Injury.

Hypertension (Dallas, Tex. : 1979)·2020
Same author

miR-34a regulates adipogenesis in porcine intramuscular adipocytes by targeting ACSL4.

BMC genetics·2020
Same author

Design and synthesis of novel 2-arylbenzimidazoles as selective mutant isocitrate dehydrogenase 2 R140Q inhibitors.

Bioorganic & medicinal chemistry letters·2020
Same journal

Acknowledgment of Referees 2025.

Biometrics·2026
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2026

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
12:04

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Statistical metrics for quality assessment of high-density tiling array data.

Hui Tang1, Terry M Therneau

  • 1Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota 55905, USA. h.tang@mayo.edu

Biometrics
|August 4, 2009
PubMed
Summary
This summary is machine-generated.

New quality control metrics for high-density tiling arrays are introduced. These statistical methods, adapted from expression microarrays, effectively identify reliable data and outliers in ChIP-chip and transcript mapping studies.

More Related Videos

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface
06:15

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Related Experiment Videos

Last Updated: Jun 21, 2026

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces
12:04

A High-throughput Cell Microarray Platform for Correlative Analysis of Cell Differentiation and Traction Forces

Published on: March 1, 2017

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
07:54

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence

Published on: October 25, 2011

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface
06:15

Rapid Setup of Tissue Microarray and Tiled Area Imaging on the Multiplexed Ion Beam Imaging Microscope Using the Tile/SED/Array Interface

Published on: September 15, 2023

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • High-density tiling arrays are crucial for genomic research, enabling high-resolution analysis of DNA regions.
  • Experimental procedures involving tiling arrays can introduce technical variations, necessitating robust quality control.
  • Existing quality control methods for expression microarrays can be adapted for tiling array data.

Purpose of the Study:

  • To develop and validate statistical quality control metrics for high-density tiling array data.
  • To establish a method for assessing the significance of quality measurements using randomization tests.
  • To ensure the reliability and accuracy of data generated from tiling array experiments.

Main Methods:

  • Proposed a suite of statistical quality metrics analogous to those used for expression microarrays.
  • Developed a randomization test-based method to estimate the significance of quality metrics.
  • Applied the developed metrics and methods to real-world datasets from ChIP-chip and transcript mapping studies.

Main Results:

  • The proposed statistical quality metrics successfully identified high-quality tiling arrays and outliers.
  • The randomization test provided a robust way to assess the significance of observed quality measurements.
  • The methods demonstrated effectiveness across diverse applications, including ChIP-chip and transcript mapping.

Conclusions:

  • The developed statistical quality control framework is effective for high-density tiling array data.
  • These quality control tools are essential for ensuring the reliability of genomic studies using tiling arrays.
  • The proposed methods offer a valuable resource for researchers utilizing tiling array technology.