HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development

The prediction of response to drugs before initiating therapy based on transcriptome data is a major challenge. However, identifying effective drug response label data costs time and resources. Methods available often predict poorly and fail to identify robust biomarkers due to the curse of dimensio...

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Detalles Bibliográficos
Autores principales: Huang, Yue, Rong, Zhiwei, Zhang, Liuchao, Xu, Zhenyi, Ji, Jianxin, He, Jia, Liu, Weisha, Hou, Yan, Li, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909422/
https://www.ncbi.nlm.nih.gov/pubmed/36776339
http://dx.doi.org/10.3389/fonc.2023.1047556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909422/
https://www.ncbi.nlm.nih.gov/pubmed/36776339
http://dx.doi.org/10.3389/fonc.2023.1047556

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