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

You might also read

Related Articles

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

Sort by
Same author

Targeting Oncomucin-driven Immunosuppression Improves the Efficacy of K-ras<sup>G12D</sup> Inhibition in Pancreatic Cancer.

Gastroenterology·2026
Same author

Evaluating patients' trust in health information based on different dimensions of trust.

Scientific reports·2026
Same author

Comprehensive comparison of salivary gland and cutaneous adnexal tumors: analogous versus discrepant clinical, terminological, histological, and molecular features : Part I.: Basic anatomy, overlapping topography, first series of related tumor entities.

Virchows Archiv : an international journal of pathology·2026
Same author

Metabolic syndrome and a broken heart: trust your gut or risk your heart.

American journal of physiology. Heart and circulatory physiology·2026
Same author

Comprehensive comparison of salivary gland and cutaneous adnexal tumors: analogous versus discrepant clinical, terminological, histological, and molecular features : Part II: Second series of related tumor entities and synoptic comparison of general aspects.

Virchows Archiv : an international journal of pathology·2026
Same author

Dose response of PTH and FGF23 to paricalcitol in patients with end-stage renal failure on chronic intermittent hemodialysis.

Clinical nephrology·2025

Related Experiment Video

Updated: Jan 3, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K

Multiplatform biomarker identification using a data-driven approach enables single-sample classification.

Ling Zhang1, Ishwor Thapa1, Christian Haas1

  • 1School of Interdisciplinary Informatics, University of Nebraska at Omaha, 110 S 67th St, Omaha, 68182, NE, USA.

BMC Bioinformatics
|November 23, 2019
PubMed
Summary
This summary is machine-generated.

We developed a Data-Driven Reference (DDR) approach using housekeeping genes to identify reliable gene biomarkers. This method enables accurate single-sample disease classification across different gene expression platforms for precision medicine.

Keywords:
BiomarkersCancerClassificationMicroarrayRNA-SeqSingle-sample

More Related Videos

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.4K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K

Related Experiment Videos

Last Updated: Jan 3, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.4K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K

Area of Science:

  • Genomics
  • Biomarker Discovery
  • Bioinformatics

Background:

  • High-throughput gene expression profiling aids in identifying biomarkers for diagnosis, prognosis, and personalized treatment.
  • A significant challenge exists in finding reliable and reproducible biomarkers across diverse platforms for single-sample analysis.
  • Platform-specific biases and non-biological variations hinder biomarker consistency.

Purpose of the Study:

  • To introduce a novel Data-Driven Reference (DDR) approach for robust biomarker identification.
  • To overcome limitations of current methods in cross-platform gene expression analysis.
  • To enable accurate single-sample diagnosis and prognosis through reliable biomarkers.

Main Methods:

  • The Data-Driven Reference (DDR) approach utilizes stably expressed housekeeping genes as internal references.
  • This method aims to eliminate platform-specific biases and non-biological variability in gene expression data.
  • The approach identifies biomarkers with inherent features for consistent interpretation across technologies.

Main Results:

  • The DDR method successfully identifies biomarkers that enable consistent, platform-independent classification of single samples.
  • Validation using RNA-seq data demonstrated superior performance in classifying tumor types and molecular target statuses with smaller biomarker sets.
  • Analysis of microarray datasets confirmed the identification of robust biomarkers for medulloblastoma subgrouping, even with data perturbations.

Conclusions:

  • The study presents a simple yet powerful data-driven method for identifying robust, cross-platform gene signatures.
  • This approach significantly contributes to single-patient disease classification, facilitating precision medicine.
  • The DDR method offers a novel strategy for transcriptome analysis and biomarker discovery.