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Predicting chemotherapy response using a variational autoencoder approach
BACKGROUND: Multiple studies have shown the utility of transcriptome-wide RNA-seq profiles as features for machine learning-based prediction of response to chemotherapy in cancer. While tumor transcriptome profiles are publicly available for thousands of tumors for many cancer types, a relatively mo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456615/ https://www.ncbi.nlm.nih.gov/pubmed/34551729 http://dx.doi.org/10.1186/s12859-021-04339-6 |