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Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning

Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related to changes in the genomic profile of tumors. We investigated correspondence between growth inhibitory concentrations of paclitaxel and gemcitabine (GI50) and gene copy number, mutation, and expression...

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Détails bibliographiques
Publié dans:Mol Oncol
Auteurs principaux: Dorman, Stephanie N., Baranova, Katherina, Knoll, Joan H.M., Urquhart, Brad L., Mariani, Gabriella, Carcangiu, Maria Luisa, Rogan, Peter K.
Format: Artigo
Langue:Inglês
Publié: John Wiley and Sons Inc. 2015
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5528934/
https://ncbi.nlm.nih.gov/pubmed/26372358
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.molonc.2015.07.006
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