Augmentation of Transcriptomic Data for Improved Classification of Patients with Respiratory Diseases of Viral Origin

Augmentation of Transcriptomic Data for Improved Classification of Patients with Respiratory Diseases of Viral Origin

To better understand the molecular basis of respiratory diseases of viral origin, high-throughput gene-expression data are frequently taken by means of DNA microarray or RNA-seq technology. Such data can also be useful to classify infected individuals by molecular signatures in the form of machine-l...

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Bibliographic Details
Main Authors: Magdalena Kircher, Elisa Chludzinski, Jessica Krepel, Babak Saremi, Andreas Beineke, Klaus Jung
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:International Journal of Molecular Sciences
Subjects:
data augmentation
deep learning
generative adversarial networks
transcriptomic data
high-dimensional data
viral acute respiratory illness
Online Access:https://www.mdpi.com/1422-0067/23/5/2481

Internet

https://www.mdpi.com/1422-0067/23/5/2481

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