Identifying Stage II Colorectal Cancer Recurrence Associated Genes by Microarray Meta-Analysis and Building Predictive Models with Machine Learning Algorithms

BACKGROUND: Stage II colorectal cancer patients had heterogeneous prognosis, and patients with recurrent events had poor survival. In this study, we aimed to identify stage II colorectal cancer recurrence associated genes by microarray meta-analysis and build predictive models to stratify patients&#...

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Detalles Bibliográficos
Autores principales: Lu, Wei, Pan, Xiang, Dai, Siqi, Fu, Dongliang, Hwang, Maxwell, Zhu, Yingshuang, Zhang, Lina, Wei, Jingsun, Kong, Xiangxing, Li, Jun, Xiao, Qian, Ding, Kefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889382/
https://www.ncbi.nlm.nih.gov/pubmed/33628243
http://dx.doi.org/10.1155/2021/6657397

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889382/
https://www.ncbi.nlm.nih.gov/pubmed/33628243
http://dx.doi.org/10.1155/2021/6657397

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