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

SSA-ME Detection of cancer driver genes using mutual exclusivity by small subnetwork analysis.

Scientific reports - 3 Nov 2016

Pulido-Tamayo Sergio, Weytjens Bram, De Maeyer Dries, Marchal Kathleen

Abstract excerpt

Because of its clonal evolution a tumor rarely contains multiple genomic alterations in the same pathway as disrupting the pathway by one gene often is sufficient to confer the complete fitness advantage. As a result, many cancer driver genes display mutual exclusivity across tumors. However, searching for mutually exclusive gene sets requires analyzing all possible combinations of genes, leading to a problem...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Clonal Evolution
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Gene Expression Regulation, Neoplastic

Share to Gene Regulatory Networks

Share to Neoplasms

Share to Proto-Oncogenes

Source

Open in PubMed Open full text

Identifiers

PMID: 27808240
DOI: 10.1038/srep36257
PMCID: PMC5093737

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

SSA-ME Detection of cancer driver genes using mutual exclusivity by small subnetwork analysis.PMID 27808240Read ↗

MEGSA: A powerful and flexible framework for analyzing mutual exclusivity of tumor mutationsSemantic proximity Read ↗

MEGSA: A Powerful and Flexible Framework for Analyzing Mutual Exclusivity of Tumor Mutations.Semantic proximity Read ↗

WeSME: uncovering mutual exclusivity of cancer drivers and beyond.Semantic proximity Read ↗

Identifying Driver Genomic Alterations in Cancers by Searching Minimum-Weight, Mutually Exclusive Sets.Semantic proximity Read ↗

MEScan: a powerful statistical framework for genome-scale mutual exclusivity analysis of cancer mutations.Semantic proximity Read ↗

A greedy approach for mutual exclusivity analysis in cancer study.Semantic proximity Read ↗

Identifying mutual exclusivity across cancer genomes: computational approaches to discover genetic interaction and reveal tumor vulnerability.Semantic proximity Read ↗

MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types.Semantic proximity Read ↗

Using MEMo to discover mutual exclusivity modules in cancer.Semantic proximity Read ↗

Modeling mutual exclusivity of cancer mutations.Semantic proximity Read ↗

Identification of driver modules in pan-cancer via coordinating coverage and exclusivity.Semantic proximity Read ↗

Cliques and Schisms of Cancer Genes.Semantic proximity Read ↗

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