ArticleGenome biology2015
CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancer.
Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 134 papers.
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Who cites it
134 citing papers in PubMed.
- Review
- CDKN2A homozygous deletions and TSC2 somatic mutations in metastatic pancreatic neuroendocrine tumors.NPJ precision oncology · 2025Article
- Distinctive chromosomal, mutational and transcriptional profiling in colon versus rectal cancers.Journal of translational medicine · 2025Article
- Mutations in tumor signaling, metastases, and synthetic lethality establish distinct patterns.PLoS computational biology · 2025Article
- Genomic landscape of breast cancer in elderly patients.NPJ breast cancer · 2025Article
- Bigpicc: a graph-based approach to identifying carcinogenic gene combinations from mutation data.BMC bioinformatics · 2025Article
- A fusion model to predict the survival of colorectal cancer based on histopathological image and gene mutation.Scientific reports · 2025Article
- Variant Impact Predictor database (VIPdb), version 2: trends from three decades of genetic variant impact predictors.Human genomics · 2024Article
- Article
- A Novel Affordable and Reliable Framework for Accurate Detection and Comprehensive Analysis of Somatic Mutations in Cancer.International journal of molecular sciences · 2024Article
- Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors.bioRxiv : the preprint server for biology · 2024Article
- Co-occurring Mutations in Different Genes Can Fuel Oncogenic Signaling and Serve as Metastatic Tumor Markers.bioRxiv : the preprint server for biology · 2024Article
- A latent variable model for evaluating mutual exclusivity and co-occurrence between driver mutations in cancer.bioRxiv : the preprint server for biology · 2024Article
- Adaptation of a mutual exclusivity framework to identify driver mutations within oncogenic pathways.American journal of human genetics · 2024Article
- DriverDBv4: a multi-omics integration database for cancer driver gene research.Nucleic acids research · 2024Article
- Exploration of ANKRD27 as an immune-related prognostic factor in pan-cancer and hepatocellular carcinoma.Frontiers in oncology · 2024Article
- Identification of hypoxia-related gene signatures based on multi-omics analysis in lung adenocarcinoma.Journal of cellular and molecular medicine · 2024Article
- Molecular Characterization of Endometrial Carcinomas in Black and White Patients Reveals Disparate Drivers with Therapeutic Implications.Cancer discovery · 2023Article
- Distinct mutational processes shape selection of MHC class I and class II mutations across primary and metastatic tumors.Cell reports · 2023Article
- Modeling and predicting cancer clonal evolution with reinforcement learning.Genome research · 2023Article
74 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Cancer is a heterogeneous disease with different combinations of genetic alterations driving its development in different individuals. We introduce CoMEt, an algorithm to identify combinations of alterations that exhibit a pattern of mutual exclusivity across individuals, often observed for alterations in the same pathway. CoMEt includes an exact statistical test for mutual exclusivity and techniques to perform simultaneous analysis of multiple sets of mutually exclusive and subtype-specific alterations. We demonstrate that CoMEt outperforms existing approaches on simulated and real data. We apply CoMEt to five different cancer types, identifying both known cancer genes and pathways, and novel putative cancer genes.
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