A multi-labeled tree dissimilarity measure for comparing “clonal trees” of tumor progression-Reference-Cited by-同舟云学术

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A multi-labeled tree dissimilarity measure for comparing “clonal trees” of tumor progression

Published:2019-07-27 Issue:1 Volume:14 Page:
ISSN:1748-7188
Container-title:Algorithms for Molecular Biology
language:en
Short-container-title:Algorithms Mol Biol

Author:

Karpov Nikolai,Malikic Salem^ORCID,Rahman Md. Khaledur,Sahinalp S. Cenk

Funder

National Science Foundation

National Institutes of Health

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Theory and Mathematics,Molecular Biology,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s13015-019-0152-9.pdf

Reference39 articles.

1. Nowell PC. The clonal evolution of tumor cell populations. Science. 1976;194(4260):23–8.

2. Kuipers J, et al. Advances in understanding tumour evolution through single-cell sequencing. Biochim Biophys Acta. 2017;1867(2):127–38.

3. Zafar H, et al. Sifit: inferring tumor trees from single-cell sequencing data under finite-sites models. Genome Biol. 2017;18(1):178.

4. Kim KI, Simon R. Using single cell sequencing data to model the evolutionary history of a tumor. BMC Bioinform. 2014;15(1):27.

5. Jahn K, et al. Tree inference for single-cell data. Genome Biol. 2016;17(1):86.

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4. Generalized Matching Distance: Tumor Phylogeny Comparison Beyond the Infinite Sites Assumption;Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2023-09-03

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