Autor: |
G. Gambardella, G. Viscido, B. Tumaini, A. Isacchi, R. Bosotti, D. di Bernardo |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
|
Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022) |
Druh dokumentu: |
article |
ISSN: |
2041-1723 |
DOI: |
10.1038/s41467-022-29358-6 |
Popis: |
The impact of tumour heterogeneity on drug response in breast cancer is not fully understood. Here, the authors characterise cell lines from all main breast cancer subtypes using single-cell RNA-seq and train a deconvolution algorithm to predict drug responses in heterogeneous tumour cell populations. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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