Predictive modelling of Parkinson’s disease progression based on RNA-Sequence with densely connected deep recurrent neural networks

The advent of recent high throughput sequencing technologies resulted in unexplored big data of genomics and transcriptomics that might help to answer various research questions in Parkinson’s disease (PD) progression. While the literature has revealed various predictive models that use longitudinal...

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Detalles Bibliográficos
Autores principales: Ahmed, Siraj, Komeili, Majid, Park, Jeongwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744878/
https://www.ncbi.nlm.nih.gov/pubmed/36509776
http://dx.doi.org/10.1038/s41598-022-25454-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9744878/
https://www.ncbi.nlm.nih.gov/pubmed/36509776
http://dx.doi.org/10.1038/s41598-022-25454-1

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