Genome-Wide Association Studies-Based Machine Learning for Prediction of Age-Related Macular Degeneration Risk | Zendy

Qi Yan | Zendy; Yale Jiang | Zendy; Heng Huang | Zendy; Anand Swaroop | Zendy; Emily Y. Chew | Zendy; Daniel E. Weeks | Zendy; Wei Chen | Zendy; Ying Ding | Zendy

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Genome-Wide Association Studies-Based Machine Learning for Prediction of Age-Related Macular Degeneration Risk

Author(s) -

Qi Yan,

Yale Jiang,

Heng Huang,

Anand Swaroop,

Emily Y. Chew,

Daniel E. Weeks,

Wei Chen,

Ying Ding

Publication year - 2021

Publication title -

translational vision science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.508

H-Index - 21

ISSN - 2164-2591

DOI - 10.1167/tvst.10.2.29

Subject(s) - brier score , random forest , machine learning , artificial intelligence , logistic regression , biobank , computer science , lasso (programming language) , support vector machine , macular degeneration , receiver operating characteristic , association test , regression , predictive modelling , medicine , bioinformatics , statistics , single nucleotide polymorphism , biology , genotype , mathematics , ophthalmology , gene , biochemistry , world wide web

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