Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations

BACKGROUND: Recent advances in kernel-based Deep Learning models have introduced a new era in medical research. Originally designed for pattern recognition and image processing, Deep Learning models are now applied to survival prognosis of cancer patients. Specifically, Deep Learning versions of the...

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Detalles Bibliográficos
Autores principales: Huang, Zhi, Johnson, Travis S., Han, Zhi, Helm, Bryan, Cao, Sha, Zhang, Chi, Salama, Paul, Rizkalla, Maher, Yu, Christina Y., Cheng, Jun, Xiang, Shunian, Zhan, Xiaohui, Zhang, Jie, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118823/
https://www.ncbi.nlm.nih.gov/pubmed/32241264
http://dx.doi.org/10.1186/s12920-020-0686-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118823/
https://www.ncbi.nlm.nih.gov/pubmed/32241264
http://dx.doi.org/10.1186/s12920-020-0686-1

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