Tumor Phylogeny Topology Inference via Deep Learning

Principled computational approaches for tumor phylogeny reconstruction via single-cell sequencing typically aim to build the most likely perfect phylogeny tree from the noisy genotype matrix – which represents genotype calls of single cells. This problem is NP-hard, and as a result, existing approac...

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Detalles Bibliográficos
Autores principales: Sadeqi Azer, Erfan, Haghir Ebrahimabadi, Mohammad, Malikić, Salem, Khardon, Roni, Sahinalp, S. Cenk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582044/
https://www.ncbi.nlm.nih.gov/pubmed/33117968
http://dx.doi.org/10.1016/j.isci.2020.101655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582044/
https://www.ncbi.nlm.nih.gov/pubmed/33117968
http://dx.doi.org/10.1016/j.isci.2020.101655

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