Expectile Neural Networks for Genetic Data Analysis of Complex Diseases-Reference-Cited by-同舟云学术

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Expectile Neural Networks for Genetic Data Analysis of Complex Diseases

Published:2023-01-01 Issue:1 Volume:20 Page:352-359
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:

Lin Jinghang¹^ORCID,Tong Xiaoran²,Li Chenxi²,Lu Qing³^ORCID

Affiliation:

1. Department of Statistics and Probability, Michigan State University, East Lansing, MI, USA

2. Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA

3. Department of Biostatistics, University of Florida, Gainesville, FL, USA

Funder

National Institute on Drug Abuse

U.S. National Library of Medicine

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10036331/09695319.pdf?arnumber=9695319

Reference38 articles.

1. Detecting genetic interactions for quantitative traits with U-statistics

2. Expectile regression neural network model with applications

3. An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network

4. Expectile and quantile regression–David and Goliath?;waltrup;Statistical Modelling,2015

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. Expectile trace regression via low-rank and group sparsity regularization;Statistics;2023-11-02

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