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A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease
Next-generation sequencing (NGS) technology has become a powerful tool for dissecting the molecular and pathological signatures of a variety of human diseases. However, the limited availability of biological samples from different disease stages is a major hurdle in studying disease progressions and...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7406107/ https://www.ncbi.nlm.nih.gov/pubmed/32706788 http://dx.doi.org/10.1371/journal.pcbi.1008099 |