Intelligent phenotype-detection and gene expression profile generation with generative adversarial networks

Gene expression analysis is valuable for cancer type classification and identifying diverse cancer phenotypes. The latest high-throughput RNA sequencing devices have enabled access to large volumes of gene expression data. However, we face several challenges, such as data security and privacy, when...

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Veröffentlicht in:	Journal of theoretical biology 2024-01, Vol.577, p.111636-111636, Article 111636
Hauptverfasser:	Ravaee, Hamid, Manshaei, Mohammad Hossein, Safayani, Mehran, Sartakhti, Javad Salimi
Format:	Artikel
Sprache:	eng
Schlagworte:	Augmentation of RNA-seq data Cancer diagnosis Cancer phenotype detection Cluster Analysis Gene expression Gene Expression Profiling Generative adversarial networks Humans Neoplasms - genetics Phenotype Transcriptome
Online-Zugang:	Volltext
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