Review of computational approaches to Parkinson’s disease gene prediction

Published: Dec 3, 2020
Abstract
Parkinson's disease is a chronic neuro-degenerative disease that affects the central nervous system. Since the causes of the disease are still unknown, both genetic and environmental factors are believed to be involved. Therefore, the identification and prediction of this genetic disorder plays an important role in early detection and treatment. The genomic data is extremely large and distorted, so the use of R tools can make the analysis and...
Paper Details
Title
Review of computational approaches to Parkinson’s disease gene prediction
Published Date
Dec 3, 2020
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.