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 Experiment Videos

A comparison study: applying segmentation to array CGH data for downstream analyses.

Hanni Willenbrock1, Jane Fridlyand

  • 1Center for Biological Sequence Analysis, Department of Biotechnology, Technical University of Denmark, Kgs. Lyngby.

Bioinformatics (Oxford, England)
|September 15, 2005
PubMed
Summary
This summary is machine-generated.

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

Oncology Dose Optimization: Tailored Approaches to Different Molecular Classes.

Clinical pharmacology and therapeutics·2025
Same author

Clinically compliant cryopreservation of differentiated retinal pigment epithelial cells.

Cytotherapy·2024
Same author

Molecular profiling of stem cell-derived retinal pigment epithelial cell differentiation established for clinical translation.

Stem cell reports·2022
Same author

Endothelial Cell Insulin Signaling Regulates CXCR4 (C-X-C Motif Chemokine Receptor 4) and Limits Leukocyte Adhesion to Endothelium.

Arteriosclerosis, thrombosis, and vascular biology·2022
Same author

Human thermogenic adipocyte regulation by the long noncoding RNA LINC00473.

Nature metabolism·2020
Same author

Semaglutide lowers body weight in rodents via distributed neural pathways.

JCI insight·2020
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
See all related articles

This study compares array comparative genomic hybridization (CGH) analysis methods. It shows how segmentation results improve downstream genomic testing and classification accuracy.

Area of Science:

  • Genomics
  • Bioinformatics
  • Statistical Genetics

Background:

  • Array comparative genomic hybridization (CGH) enables DNA copy number detection and mapping.
  • Inferring genome-wide copy number structure presents a significant challenge.
  • Existing statistical methods for segmenting array CGH data lack comprehensive comparative analysis and downstream application.

Purpose of the Study:

  • To compare the characteristics of popular array CGH analysis methods.
  • To demonstrate the utility of segmentation results in downstream analyses like testing and classification.
  • To propose a novel method for merging genomic segments for improved interpretability.

Main Methods:

  • Comparison of three publicly available array CGH analysis methods.

Related Experiment Videos

  • Application of segmentation results in downstream statistical testing and classification tasks.
  • Development of a procedure for merging chromosomal segments across the genome.

    • Main Results:

    • Demonstrated enhanced power and prediction accuracy in downstream analyses using segmentation results.
    • Proposed a novel genome-wide segment merging procedure.
    • Achieved interpretable copy number levels facilitating the identification of copy number alterations.

    Conclusions:

    • Comparative analysis of array CGH methods is crucial for robust genomic profiling.
    • Utilizing segmentation results in downstream analyses significantly improves statistical power and predictive accuracy.
    • The proposed segment merging procedure enhances the interpretability of copy number alterations across the genome.