| Autor: |
Rachel Marty Pyke, Dattatreya Mellacheruvu, Steven Dea, Charles W. Abbott, Lee McDaniel, Devayani P. Bhave, Simo V. Zhang, Eric Levy, Gabor Bartha, John West, Michael P. Snyder, Richard O. Chen, Sean Michael Boyle |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-29203-w |
| Popis: |
Human leukocyte antigen loss of heterozygosity (HLA LOH) is an important mechanism of immune escape in patients with cancer. Here the authors design and validate a machine learning algorithm with subclonal sensitivity for the identification of HLA LOH from paired tumor-normal sequencing data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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