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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Biostatistics: Overview01:20

Biostatistics: Overview

Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

You might also read

Related Articles

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

Sort by
Same author

JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics.

Advances in neural information processing systems·2026
Same author

Progress in Metal-Based Nanomaterials for Photothermal Therapy in the Second Near-Infrared Window.

Advanced healthcare materials·2026
Same author

Phenotypic prediction of missense variants via deep contrastive learning.

Nature biomedical engineering·2026
Same author

DEDUCE: statistical inference on disease-associated genes uncovers tissue-disease associations.

NAR genomics and bioinformatics·2026
Same author

The d-Orbital High-Spin State of Fe Single Atomic Sites via Asymmetric Axial Ligand Effect of Cu Clusters for an Ultralow Δ<i>E</i> in Rechargeable Zinc-Air Batteries.

ACS nano·2025
Same author

Designing strongly coupled polaritonic structures via statistical machine learning.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Genome-wide analysis across Indian camel populations reveals genetic distinctiveness of the Kharai camel breed.

BMC genomics·2026
Same journal

Different genomic footprint of small insertion-deletion and structural variants determines the genetic divergence of indica and japonica rice.

BMC genomics·2026
Same journal

From nurse bee to queen egg: RNA-seq analysis of Apis mellifera eggs shows dietary protein-dependent gene regulation.

BMC genomics·2026
Same journal

A genome-wide association study to identify the genetic loci underlying carbapenem resistance in Acinetobacter baumannii.

BMC genomics·2026
Same journal

Comparative transcriptome analysis to reveal key drought stress-responsive genes in sorghum (Sorghum bicolor (L.) Moench).

BMC genomics·2026
Same journal

Tissue identity is the dominant determinant of cross-species transferability of a porcine developmental programme.

BMC genomics·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2026

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

Bayesian biclustering of gene expression data.

Jiajun Gu1, Jun S Liu

  • 1School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA. jiajungu@fas.harvard.edu

BMC Genomics
|April 17, 2008
PubMed
Summary
This summary is machine-generated.

The Bayesian biclustering model (BBC) accurately identifies gene expression patterns. This robust algorithm enhances biological discovery in microarray data, outperforming existing methods.

More Related Videos

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Related Experiment Videos

Last Updated: Jul 6, 2026

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types
12:39

A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types

Published on: December 10, 2012

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Biclustering identifies local gene expression patterns across samples.
  • Few existing biclustering algorithms employ rigorous statistical models.

Purpose of the Study:

  • To develop a statistically rigorous Bayesian biclustering model (BBC).
  • To evaluate the BBC algorithm's performance against existing methods.

Main Methods:

  • Developed a Bayesian biclustering model (BBC).
  • Implemented a Gibbs sampling procedure for statistical inference.
  • Tested with simulated and yeast expression data.

Main Results:

  • The BBC model accurately identifies multiple gene expression clusters.
  • BBC demonstrated superior robustness and accuracy compared to other methods.
  • Identified biclusters showed significant biological relevance (gene function, TF binding sites).

Conclusions:

  • The BBC algorithm is a robust, model-based biclustering method for microarray data.
  • BBC discovers biologically significant gene-condition clusters.
  • The model handles missing data and can be extended for gene network studies.