| Autor: |
Arkajyoti Bhattacharya, Rico D. Bense, Carlos G. Urzúa-Traslaviña, Elisabeth G. E. de Vries, Marcel A. T. M. van Vugt, Rudolf S. N. Fehrmann |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-020-14605-5 |
| Popis: |
Copy number alterations (CNAs) can drive tumor progression in cancer by altering gene expression levels, but transcriptional adaption can skew CNA impact. Here, the authors present transcriptional adaptation to CNA (TACNA) profiling; a tool to extract the transcriptional effect of CNAs from expression data without requiring paired CNA profiles. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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