Genomic Machine Learning Meta-regression: Insights on Associations of Study Features with Reported Model Performance-Reference-Cited by-同舟云学术

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Genomic Machine Learning Meta-regression: Insights on Associations of Study Features with Reported Model Performance

Published:2023 Issue: Volume: Page:1-18
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Barnett Eric J¹,Onete Daniel G²,Salekin Asif³,Faraone Stephen V¹

Affiliation:

1. Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, USA

2. College of Medicine, MD Program, SUNY Upstate Medical University, Syracuse, New York, USA

3. Laboratory for Ubiquitous and Intelligent Sensing, Department of Electrical Engineering and Computer Science, Syracuse, Syracuse University, New York, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/4359833/10364963.pdf?arnumber=10364963

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of model evaluation metrics for machine learning in genetics and genomics;Frontiers in Bioinformatics;2024-09-10

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