Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia
Volume: 183, Pages: 105073 - 105073
Published: Jan 1, 2020
Abstract
Imaging genetics has been widely used to help diagnose and treat mental illness, e.g., schizophrenia, by combining magnetic resonance imaging of the brain and genomic information for comprehensive and systematic analysis. As a result, utilizing the correlation between magnetic resonance imaging of the brain and genomic information is becoming an important challenge. In this paper, the joint analysis of single nucleotide polymorphisms and...
Paper Details
Title
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia
Published Date
Jan 1, 2020
Volume
183
Pages
105073 - 105073
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- 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.
Notes
History