Uncovering the prognostic gene signatures for the improvement of risk stratification in cancers by using deep learning algorithm coupled with wavelet transform

BACKGROUND: The aim of gene expression-based clinical modelling in tumorigenesis is not only to accurately predict the clinical endpoints, but also to reveal the genome characteristics for downstream analysis for the purpose of understanding the mechanisms of cancers. Most of the conventional machin...

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Detalles Bibliográficos
Autores principales: Zhao, Yiru, Zhou, Yifan, Liu, Yuan, Hao, Yinyi, Li, Menglong, Pu, Xuemei, Li, Chuan, Wen, Zhining
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236453/
https://www.ncbi.nlm.nih.gov/pubmed/32429941
http://dx.doi.org/10.1186/s12859-020-03544-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7236453/
https://www.ncbi.nlm.nih.gov/pubmed/32429941
http://dx.doi.org/10.1186/s12859-020-03544-z

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