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...

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Detalles Bibliográficos
Autores principales: Wei, Qi, Ramsey, Stephen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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