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

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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...
Coordination of Gene Expression Processes in Bacteria01:29

Coordination of Gene Expression Processes in Bacteria

The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...

You might also read

Related Articles

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

Sort by
Same author

Serum proteomic, peptidomic and metabolomic profiles in myasthenia gravis patients during treatment with Qiangji Jianli Fang.

Chinese medicine·2012
Same author

[C-ring cleavage of liquiritigenin extracted from licorice roots by an oxygen-tolerant bovine rumen bacterium strain Aeroto-Niu-O16].

Yao xue xue bao = Acta pharmaceutica Sinica·2012
Same author

Correlation between base-excision repair gene polymorphisms and levels of in-vitro BPDE-induced DNA adducts in cultured peripheral blood lymphocytes.

PloS one·2012
Same author

Design of compensation coils for EMI suppression in magnetostrictive linear position sensors.

Sensors (Basel, Switzerland)·2012
Same author

Polarization of a diffuse soft particle subjected to an alternating current field.

Langmuir : the ACS journal of surfaces and colloids·2012
Same author

A single nucleotide mutation in NS2A of Japanese encephalitis-live vaccine virus (SA14-14-2) ablates NS1' formation and contributes to attenuation.

The Journal of general virology·2012
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same journal

OpenIMC: an open-source platform for analyzing single-cell and spatial proteomics by imaging mass cytometry.

BMC bioinformatics·2026
Same journal

NAP: an open source pipeline for cross-domain microbiome profiling using Nanopore sequencing-derived amplicon data.

BMC bioinformatics·2026
Same journal

SurvGME: an R package for survival analysis with graphical and measurement error models.

BMC bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Jun 4, 2026

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

Query-based biclustering of gene expression data using Probabilistic Relational Models.

Hui Zhao1, Lore Cloots, Tim Van den Bulcke

  • 1Microbial and Molecular Systems, KU Leuven, Leuven 3001, Belgium. hui.zhao@biw.kuleuven.be

BMC Bioinformatics
|February 24, 2011
PubMed
Summary
This summary is machine-generated.

ProBic, a novel biclustering algorithm, effectively identifies gene expression patterns by leveraging prior distributions. This method excels at finding biologically relevant gene sets, even with noisy input data.

More Related Videos

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

Related Experiment Videos

Last Updated: Jun 4, 2026

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

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

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Large-scale gene expression compendia enable analysis of findings within existing data.
  • Query-based strategies are needed to identify genes with similar expression profiles to a seed set.
  • Existing methods struggle with noisy seed sets, limiting their robustness.

Purpose of the Study:

  • To develop a query-based biclustering strategy robust to noisy seed sets.
  • To exploit coexpression behavior of seed genes for improved biclustering.
  • To utilize prior distributions for extracting information from seed sets.

Main Methods:

  • Developed ProBic, a query-based biclustering strategy.
  • Utilized Probabilistic Relational Models (PRMs).
  • Applied prior distributions to guide biclustering.

Main Results:

  • ProBic successfully extended partially described regulons in an Escherichia coli compendium.
  • Outperformed ISA and QDB in bicluster expression quality and biological relevance.
  • Demonstrated superior robustness against noisy seed sets.

Conclusions:

  • ProBic is a flexible query-based biclustering algorithm.
  • Detects biologically relevant, high-quality biclusters.
  • Retains relevant seed genes effectively, even with noisy or low-quality seed sets.