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

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

Bioinformatics (Oxford, England) - 15 Jun 2015

Kim Yoo-Ah, Cho Dong-Yeon, Dao Phuong, Przytycka Teresa M

Abstract excerpt

MOTIVATION: The data gathered by the Pan-Cancer initiative has created an unprecedented opportunity for illuminating common features across different cancer types. However, separating tissue-specific features from across cancer signatures has proven to be challenging. One of the often-observed properties of the mutational landscape of cancer is the mutual exclusivity of cancer driving mutations. Even though...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bioinformatics and Genomic Networks

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cancer Genomics and Diagnostics

Share to Gene Expression Regulation, Neoplastic

Share to Gene Regulatory Networks

Share to Mutation

Share to Neoplasms

Share to Radiomics and Machine Learning in Medical Imaging

Source

Open in PubMed Open full text

Identifiers

PMID: 26072494
DOI: 10.1093/bioinformatics/btv247
PMCID: PMC4481701

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

MEMCover: integrated analysis of mutual exclusivity and functional network reveals dysregulated pathways across multiple cancer types.PMID 26072494Read ↗

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

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

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

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

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

BeWith: A Between-Within method to discover relationships between cancer modules via integrated analysis of mutual exclusivity, co-occurrence and functional interactions.Semantic proximity Read ↗

gcMECM: graph clustering of mutual exclusivity of cancer mutations.Semantic proximity Read ↗

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 ↗

A weighted exact test for mutually exclusive mutations in cancer.Semantic proximity Read ↗

Detection of Combinatorial Mutational Patterns in Human Cancer Genomes by Exclusivity Analysis.Semantic proximity Read ↗

Cliques and Schisms of Cancer Genes.Semantic proximity Read ↗

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