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

Interpreting R Charts01:22

Interpreting R Charts

57
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
57
Overview of Minitab01:11

Overview of Minitab

111
Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
111
Introduction to R01:11

Introduction to R

257
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
257
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

517
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
517
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

162
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
162
The R Chart01:02

The R Chart

65
In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
65

You might also read

Related Articles

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

Sort by
Same author

Formation and Coherent Propagation of Femtosecond-Laser-Induced Periodic Surface Structures (LIPSS) in Fluorine-Doped Tin Oxide: Control, Potential Applications, and Challenges.

ACS applied materials & interfaces·2026
Same author

Pulsed Electric Field Ablation Reprograms Tumor Immunity and Stimulates Germinal Center Formation in Tertiary Lymphoid Structures in Patients with Non-Small Cell Lung Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Incident learning systems to improve patient safety in nuclear medicine across Europe: results of the MARLIN study.

European journal of nuclear medicine and molecular imaging·2026
Same author

Reply.

The Journal of allergy and clinical immunology·2026
Same author

Immunologic biomarkers of noninfectious complications and overall survival in common variable immunodeficiency.

The Journal of allergy and clinical immunology·2025
Same author

2D Co-Mo-Hydroxide-Based Multifunctional Material for the Development of H<sub>2</sub>-Based Clean Energy Technologies.

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

RNApedia: a database of structural protein-RNA interactions.

Frontiers in bioinformatics·2026
Same journal

Hydrogen sulfide modulates gene networks in hypoxia/reoxygenation-stressed trophoblasts: insights from transcriptome profiling.

Frontiers in bioinformatics·2026
Same journal

Molecular Dynamics-Based validation of a quinazoline-based KRAS inhibitor (C9) identified through QSAR-guided discovery.

Frontiers in bioinformatics·2026
Same journal

Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.

Frontiers in bioinformatics·2026
Same journal

A foundational quantum framework for multi-pattern string matching in k-mer detection.

Frontiers in bioinformatics·2026
Same journal

Explainable machine learning-based identification of transcriptomic biomarkers in CD1c+ dendritic cells for non-infectious uveitis: an integrative analysis of bulk RNA-seq data.

Frontiers in bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2025

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

37.0K

Rvisdiff: An R package for interactive visualization of differential expression.

David Barrios1, Carlos Prieto1

  • 1Bioinformatics Service, Nucleus, University of Salamanca, Salamanca, Spain.

Frontiers in Bioinformatics
|September 17, 2024
PubMed
Summary
This summary is machine-generated.

Rvisdiff is a new R/Bioconductor package that simplifies interpreting differential gene expression results. It generates interactive web pages for exploring statistical analyses and source data, aiding biological discovery.

Keywords:
R packageRNA-seqdata visualizationexpression analysisprotein array

More Related Videos

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

5.5K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

Related Experiment Videos

Last Updated: Jun 13, 2025

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

37.0K
Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
08:35

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

5.5K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.1K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Differential gene expression analysis is crucial for understanding biological processes.
  • Interpreting complex statistical results from tools like DESeq2, edgeR, and limma can be challenging.
  • Visualizing expression data alongside statistical outputs enhances interpretation.

Purpose of the Study:

  • To develop an interactive visualization tool for differential gene expression results.
  • To provide a user-friendly interface for exploring statistical analysis outputs and source expression data.
  • To integrate with popular differential expression analysis packages.

Main Methods:

  • Development of an R/Bioconductor package named Rvisdiff.
  • Implementation of auto-analytical visualizations for statistical results.
  • Creation of a local HTML web page for interactive data exploration.
  • Support for input from DESeq2, edgeR, and limma analysis results.

Main Results:

  • Rvisdiff generates an interactive local web page from differential expression results.
  • Users can simultaneously explore differential expression statistics and raw expression data.
  • The package facilitates intuitive interpretation of complex biological data.
  • The tool is compatible with outputs from major differential expression analysis pipelines.

Conclusions:

  • Rvisdiff offers an effective and interactive solution for interpreting differential gene expression.
  • The package enhances the accessibility and understanding of complex bioinformatics analyses.
  • Rvisdiff is a valuable tool for researchers in genomics and computational biology.