Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

Patient-derived xenografts (PDXs) are an appealing platform for preclinical drug studies. A primary challenge in modeling drug response prediction (DRP) with PDXs and neural networks (NNs) is the limited number of drug response samples. We investigate multimodal neural network (MM-Net) and data augm...

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Detalles Bibliográficos
Autores principales: Partin, Alexander, Brettin, Thomas, Zhu, Yitan, Dolezal, James M., Kochanny, Sara, Pearson, Alexander T., Shukla, Maulik, Evrard, Yvonne A., Doroshow, James H., Stevens, Rick L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027779/
https://www.ncbi.nlm.nih.gov/pubmed/36960342
http://dx.doi.org/10.3389/fmed.2023.1058919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027779/
https://www.ncbi.nlm.nih.gov/pubmed/36960342
http://dx.doi.org/10.3389/fmed.2023.1058919

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