Establishment of multiple diagnosis models for colorectal cancer with artificial neural networks

The current study aimed to develop multiple diagnosis models for colorectal cancer (CRC) based on data from The Cancer Genome Atlas database and analysis with artificial neural networks in order to enhance CRC diagnosis methods. A genetic algorithm and mean impact value were used to select genes to...

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Detalles Bibliográficos
Autores principales: Wang, Qiang, Wei, Jianchang, Chen, Zhuanpeng, Zhang, Tong, Zhong, Junbin, Zhong, Bingzheng, Yang, Ping, Li, Wanglin, Cao, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396131/
https://www.ncbi.nlm.nih.gov/pubmed/30867765
http://dx.doi.org/10.3892/ol.2019.10010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396131/
https://www.ncbi.nlm.nih.gov/pubmed/30867765
http://dx.doi.org/10.3892/ol.2019.10010

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