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Colorectal Cancer Prediction Based on Weighted Gene Co-Expression Network Analysis and Variational Auto-Encoder

An effective feature extraction method is key to improving the accuracy of a prediction model. From the Gene Expression Omnibus (GEO) database, which includes 13,487 genes, we obtained microarray gene expression data for 238 samples from colorectal cancer (CRC) samples and normal samples. Twelve gen...

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Detalles Bibliográficos
Autores principales: Ai, Dongmei, Wang, Yuduo, Li, Xiaoxin, Pan, Hongfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563725/
https://www.ncbi.nlm.nih.gov/pubmed/32825264
http://dx.doi.org/10.3390/biom10091207