Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data

BACKGROUND: Predicting the drug response of a patient is important for precision oncology. In recent studies, multi-omics data have been used to improve the prediction accuracy of drug response. Although multi-omics data are good resources for drug response prediction, the large dimension of data te...

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Detalles Bibliográficos
Autores principales: Park, Sejin, Soh, Jihee, Lee, Hyunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152321/
https://www.ncbi.nlm.nih.gov/pubmed/34034645
http://dx.doi.org/10.1186/s12859-021-04146-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152321/
https://www.ncbi.nlm.nih.gov/pubmed/34034645
http://dx.doi.org/10.1186/s12859-021-04146-z

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