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

Deconvolution01:20

Deconvolution

368
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
368

You might also read

Related Articles

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

Sort by
Same author

Safety and efficacy of transcutaneous auricular vagus nerve stimulation in patients with narcolepsy type 1 (TARGET-2): study protocol for a randomised, double-blind, sham-controlled trial.

BMJ open·2026
Same author

An in-sensor communication electronic textile for imperceptible and ultrarobust silent speech.

Nature communications·2026
Same author

Efficient fabrication of cellulose-based hydrogels for effective heavy metal ion adsorption from oral medical wastewater.

International journal of biological macromolecules·2026
Same author

The EGR1/caspase-14/HIF-1α axis mediates tamoxifen resistance in MCF-7 breast cancer cells.

Open life sciences·2026
Same author

Postoperative drainage with double 8F ultrafine chest tubes improves pain control and reduces specific complications in uniportal thoracoscopic lung tumor resection: a retrospective multicenter cohort study.

Frontiers in medicine·2026
Same author

Biomass-Derived Composite Sponges with Synergistic Hemostatic and Antibacterial Efficacy for Emergency Wound Care.

Advanced healthcare materials·2026
Same journal

Correction to 'New origin firing is inhibited by APC/CCdh1 activation in S-phase after severe replication stress'.

Nucleic acids research·2026
Same journal

VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.

Nucleic acids research·2026
Same journal

Accessibility of telomeric overhangs to stabilizing small-molecule ligands.

Nucleic acids research·2026
Same journal

Multivalent interactions mediate SNAIL transcription factor stimulation of the nucleosome deacetylase activity of the CoREST complex.

Nucleic acids research·2026
Same journal

Genome-wide mapping of DNA G-quadruplexes in Trypanosoma brucei chromatin reveals enrichment in coding regions and transcription start sites.

Nucleic acids research·2026
Same journal

Correction to 'The Gene Ontology knowledgebase in 2026'.

Nucleic acids research·2026
See all related articles

Related Experiment Video

Updated: Nov 4, 2025

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

9.5K

GEPIA2021: integrating multiple deconvolution-based analysis into GEPIA.

Chenwei Li1,2, Zefang Tang3, Wenjie Zhang4

  • 1School of Life Sciences, BIOPIC and Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.

Nucleic Acids Research
|May 29, 2021
PubMed
Summary
This summary is machine-generated.

GEPIA2021 enhances gene expression analysis by integrating cell type deconvolution. This tool allows researchers to explore The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets at a finer resolution.

More Related Videos

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.3K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

13.0K

Related Experiment Videos

Last Updated: Nov 4, 2025

Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

9.5K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.3K
A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells
12:49

A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells

Published on: September 28, 2019

13.0K

Area of Science:

  • Genomics
  • Bioinformatics
  • Cancer Research

Background:

  • Gene Expression Profiling Interactive Analysis (GEPIA) facilitated bulk RNA sequencing data analysis.
  • Recent advancements in deconvolution tools enable cell type-level analysis of bulk RNA datasets.
  • Understanding cell type-specific characteristics is crucial for cancer research.

Purpose of the Study:

  • To introduce GEPIA2021, an extension of GEPIA, for analyzing deconvolution results.
  • To enable interactive exploration of The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets at cell type resolution.
  • To provide tools for cell type proportion comparison, correlation, differential expression, and survival analysis.

Main Methods:

  • Development of GEPIA2021 as a standalone extension of the GEPIA webserver.
  • Integration of deconvolution analysis results into the GEPIA framework.
  • Implementation of interactive modules for various data mining tasks.

Main Results:

  • GEPIA2021 allows users to perform cell type-level proportion comparison.
  • Users can conduct correlation analysis, differential expression analysis, and survival analysis based on deconvolution data.
  • The tool facilitates hypothesis validation using TCGA and GTEx datasets with enhanced resolution.

Conclusions:

  • GEPIA2021 provides an enhanced platform for exploring gene expression data at the cell type level.
  • The tool empowers experimental biologists to investigate complex biological questions in cancer and other diseases.
  • GEPIA2021 is publicly accessible for broader research community utilization.