Article

The Bourque Distances for Mutation Trees of Cancers

2021-02-18

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> Mutation trees are rooted trees in which nodes are of arbitrary degree are labeled with a mutation set. These trees, also referred to as clonal trees, are used in computational oncology to represent the mutational history of tumours. Classical tree metrics such as the popular Robinson-Foulds distance are of limited use for the comparison of mutation trees. One r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 23383ac4-a9e0-5b54-8ba0-92e7999a6a6f
DOI: 10.21203/rs.3.rs-204928/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The Bourque Distances for Mutation Trees of CancersDOI 10.21203/rs.3.rs-204928/v1Read

The Bourque Distances for Mutation Trees of CancersSemantic proximity Read

The k-Robinson-Foulds Dissimilarity Measures for Comparison of Labeled Trees.Semantic proximity Read

Weighted Centroid Trees: A general approach for summarizing phylogenies in tumor mutation tree inferenceSemantic proximity Read

Weighted centroid trees: a general approach to summarize phylogenies in single-labeled tumor mutation tree inference.Semantic proximity Read

Triplet-based similarity score for fully multilabeled trees with poly-occurring labelsSemantic proximity Read

Estimating an oncogenetic tree when false negatives and positives are presentSemantic proximity Read

DNA walk of specific fused oncogenes exhibit distinct fractal geometric characteristics in nucleotide patternsSemantic proximity Read

Inferring Tree Models for Oncogenesis from Comparative Genome Hybridization DataSemantic proximity Read

Designing an A* algorithm for calculating edit distance between rooted-unordered trees.Semantic proximity Read

Distance-Based Reconstruction of Tree Models for OncogenesisSemantic proximity Read

Does Relaxing the Infinite Sites Assumption Give Better Tumor Phylogenies? An ILP-Based Comparative ApproachSemantic proximity Read

ConTreeDP: A consensus method of tumor trees based on maximum directed partition support problemSemantic proximity Read