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

Subnetwork state functions define dysregulated subnetworks in cancer.

Journal of computational biology : a journal of computational molecular cell biology - 1 Mar 2011

Chowdhury Salim A, Nibbe Rod K, Chance Mark R, Koyutürk Mehmet

Abstract excerpt

Emerging research demonstrates the potential of protein-protein interaction (PPI) networks in uncovering the mechanistic bases of cancers, through identification of interacting proteins that are coordinately dysregulated in tumorigenic and metastatic samples. When used as features for classification, such coordinately dysregulated subnetworks improve diagnosis and prognosis of cancer considerably over single-gene...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Artificial Intelligence

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Colorectal Neoplasms

Share to Computer Simulation

Share to Gene Expression Regulation, Neoplastic

Share to Metabolic Networks and Pathways

Share to Protein Interaction Mapping

Share to Proteins

Source

Open in PubMed Open full text

Identifiers

PMID: 21385033
DOI: 10.1089/cmb.2010.0269
PMCID: PMC3123978

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 · 12 closest

Subnetwork state functions define dysregulated subnetworks in cancer.PMID 21385033Read ↗

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

Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer SubnetworksSemantic proximity Read ↗

Gene Targeting in Disease NetworksSemantic proximity Read ↗

Automatic context-specific subnetwork discovery from large interaction networks.Semantic proximity Read ↗

DiCE: differential centrality-ensemble analysis based on gene expression profiles and protein–protein interaction networkSemantic proximity Read ↗

Gene interaction enrichment and network analysis to identify dysregulated pathways and their interactions in complex diseases.Semantic proximity Read ↗

DiCE: differential centrality-ensemble analysis based on gene expression profiles and protein-protein interaction networkSemantic proximity Read ↗

Statistical Inference of Phenotype-Specific Molecular Mechanisms from Cell Line-Specific Gene Regulatory Networks with Application to Quizartinib Sensitivity.Semantic proximity Read ↗

A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma.Semantic proximity Read ↗

Principles and strategies for developing network models in cancer.Semantic proximity Read ↗

NetMix: A network-structured mixture model for reduced-bias estimation of altered subnetworksSemantic proximity Read ↗

Identifying dysregulated pathways in cancers from pathway interaction networksSemantic proximity Read ↗

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