Leveraging summary statistics to make inferences about complex phenotypes in large biobanks-Reference-Cited by-同舟云学术

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Leveraging summary statistics to make inferences about complex phenotypes in large biobanks

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:Biocomputing 2019
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Author:

Gasdaska Angela¹,Friend Derek²,Chen Rachel³,Westra Jason⁴,Zawistowski Matthew⁵,Lindsey William⁴,Tintle Nathan⁴

Affiliation:

1. Department of Mathematics and Computer Science and Department of Quantitative Theory and Methods, Emory University, Atlanta, GA 30322, USA

2. Department of Geography, University of Nevada, Reno, NV 89557, USA

3. Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA

4. Department of Math, Computer Science, and Statistics, Dordt College, Sioux Center, IA 51250, USA

5. Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA

Publisher

WORLD SCIENTIFIC

Cited by 4 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. Limitations and solutions for developing a grain yield and protein content forecasting model based on vegetation indices in organic wheat production – on-farm experimentation;Biological Agriculture & Horticulture;2024-06-06

2. Using Summary Statistics to Model Multiplicative Combinations of Initially Analyzed Phenotypes With a Flexible Choice of Covariates;Frontiers in Genetics;2021-10-12

3. pcsstools: Tools for Regression Using Pre-Computed Summary Statistics;CRAN: Contributed Packages;2021-03-23

4. Using summary statistics to evaluate the genetic architecture of multiplicative combinations of initially analyzed phenotypes with a flexible choice of covariates;2021-03-09

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