A zero-agnostic model for copy number evolution in cancer.
<h4>Motivation</h4>New low-coverage single-cell DNA sequencing technologies enable the measurement of copy number profiles from thousands of individual cells within tumors. From this data, one can infer the evolutionary history of the tumor by modeling transformations of the genome via c...
| Main Authors: | , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Public Library of Science (PLoS)
2023-11-01
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| 丛编: | PLoS Computational Biology |
| 在线阅读: | https://doi.org/10.1371/journal.pcbi.1011590 |