Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

An integer linear programming approach for finding deregulated subgraphs in regulatory networks.

Nucleic acids research - 1 Mar 2012

Backes Christina, Rurainski Alexander, Klau Gunnar W, Müller Oliver, Stöckel Daniel, Gerasch Andreas, Küntzer Jan, Maisel Daniela, Ludwig Nicole, Hein Matthias, Keller Andreas, Burtscher Helmut, Kaufmann Michael, Meese Eckart, Lenhof Hans-Peter

Abstract excerpt

Deregulation of cell signaling pathways plays a crucial role in the development of tumors. The identification of such pathways requires effective analysis tools that facilitate the interpretation of expression differences. Here, we present a novel and highly efficient method for identifying deregulated subnetworks in a regulatory network. Given a score for each node that measures the degree of deregulation of the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adenocarcinoma
Share to Breast

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Colorectal Neoplasms

Share to Epithelial Cells

Share to Gene Regulatory Networks

Share to Genes, BRCA1

Share to Glioma

Share to Protein Interaction Maps

Source

Open in PubMed Open full text

Identifiers

PMID: 22210863
DOI: 10.1093/nar/gkr1227
PMCID: PMC3315310

Genes

BRCA1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 11 closest

An integer linear programming approach for finding deregulated subgraphs in regulatory networks.PMID 22210863Read ↗

De novo identification of maximally deregulated subnetworks based on multi-omics data with DeRegNetSemantic proximity Read ↗

Transcriptional master regulator analysis in breast cancer genetic networks.Semantic proximity Read ↗

MSF: Modulated Sub-graph FinderSemantic proximity Read ↗

Two-layer modular analysis of gene and protein networks in breast cancer.Semantic proximity Read ↗

Algorithm to find gene expression profiles of deregulation and identify families of disease-altered genes.Semantic proximity Read ↗

Detection of statistically significant network changes in complex biological networksSemantic proximity Read ↗

Designing logical rules to model the response of biomolecular networks with complex interactions: an application to cancer modeling.Semantic proximity Read ↗

Identification of coordinately dysregulated subnetworks in complex phenotypes.Semantic proximity Read ↗

Detection of regulatory circuits by integrating the cellular networks of protein-protein interactions and transcription regulation.Semantic proximity Read ↗

Identification of Therapeutic Gene Targets in Triple-Negative Breast Cancer: A Hybrid Approach Integrating Semidefinite Programming, Boolean Simulation, and Druggability AnalysisSemantic proximity Read ↗

Logic programming reveals alteration of key transcription factors in multiple myelomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.