Assisted estimation of gene expression graphical models-Reference-Cited by-同舟云学术

Assisted estimation of gene expression graphical models

Published:2021-02 Issue:4 Volume:45 Page:372-385
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Yi Huangdi¹,Zhang Qingzhao²,Sun Yifan³^ORCID,Ma Shuangge¹²^ORCID

Affiliation:

1. Department of Biostatistics Yale University New Haven Connecticut USA

2. Department of Statistics, Key Laboratory of Econometrics, Ministry of Education, School of Economics, The Wang Yanan Institute for Studies in Economics Xiamen University Xiamen China

3. Center of Applied Statistics, School of Statistics Renmin University of China Beijing China

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

National Institutes of Health

National Bureau of Statistics of China

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22377

Reference27 articles.

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2. Cancer Genome Atlas Program. (2020). National Cancer Institute.https://www.cancer.gov/about-nci/organization/ccg/research/structural-genomics/tcga

3. Structured regularization for conditional Gaussian graphical models

4. Joint conditional Gaussian graphical models with multiple sources of genomic data

5. Sparse graphical models for exploring gene expression data

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