Tumor type classification and candidate cancer-specific biomarkers discovery via semi-supervised learning

Identifying cancer-related differentially expressed genes provides significant information for diagnosing tumors, predicting prognoses, and effective treatments. Recently, deep learning methods have been used to perform gene differential expression analysis using microarray-based high-throughput gen...

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Detalles Bibliográficos
Autores principales: Chen, Peng, Li, Zhenlei, Hong, Zhaolin, Zheng, Haoran, Zeng, Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biophysics Reports Editorial Office 2023
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518520/
https://www.ncbi.nlm.nih.gov/pubmed/37753058
http://dx.doi.org/10.52601/bpr.2023.230005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518520/
https://www.ncbi.nlm.nih.gov/pubmed/37753058
http://dx.doi.org/10.52601/bpr.2023.230005

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