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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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| Veröffentlicht in: | iScience |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7582044/ https://ncbi.nlm.nih.gov/pubmed/33117968 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2020.101655 |
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