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

ToMExO: A probabilistic tree-structured model for cancer progression.

PLoS computational biology - 1 Dec 2022

Mohaghegh Neyshabouri Mohammadreza, Lagergren Jens

Abstract excerpt

Identifying the interrelations among cancer driver genes and the patterns in which the driver genes get mutated is critical for understanding cancer. In this paper, we study cross-sectional data from cohorts of tumors to identify the cancer-type (or subtype) specific process in which the cancer driver genes accumulate critical mutations. We model this mutation accumulation process using a tree, where each node...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Child
Share to Cross-Sectional Studies

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Glioblastoma

Share to Monte Carlo Method

Share to Mutation

Share to Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 36469540
DOI: 10.1371/journal.pcbi.1010732
PMCID: PMC9754607

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. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

ToMExO: A probabilistic tree-structured model for cancer progression.PMID 36469540Read ↗

Inferring Tumor Progression in Large DatasetsSemantic proximity Read ↗

Inferring tumor progression in large datasets.Semantic proximity Read ↗

C-ToMExO: Learning Cancer Progression Dynamics from Clonal Composition of TumorsSemantic proximity Read ↗

Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation treesSemantic proximity Read ↗

Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees.Semantic proximity Read ↗

Simultaneous inference of cancer pathways and tumor progression from cross-sectional mutation data.Semantic proximity Read ↗

Cancer evolution: mathematical models and computational inference.Semantic proximity Read ↗

pathTiMEx: Joint Inference of Mutually Exclusive Cancer Pathways and Their Progression DynamicsSemantic proximity Read ↗

PMCE: efficient inference of expressive models of cancer evolution with high prognostic powerSemantic proximity Read ↗

<tt>TRONCO</tt> : an R package for the inference of cancer progression models from heterogeneous genomic dataSemantic proximity Read ↗

Identifying Restrictions in the Order of Accumulation of Mutations during Tumor Progression: Effects of Passengers, Evolutionary Models, and SamplingSemantic proximity Read ↗

Identifying restrictions in the order of accumulation of mutations during tumor progression: effects of passengers, evolutionary models, and sampling.Semantic proximity Read ↗

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