Information‐incorporated Gaussian graphical model for gene expression data-Reference-Cited by-同舟云学术

Information‐incorporated Gaussian graphical model for gene expression data

Published:2021-02-12 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Yi Huangdi¹,Zhang Qingzhao²,Lin Cunjie³^ORCID,Ma Shuangge¹^ORCID

Affiliation:

1. Department of Biostatistics Yale School of Public Health New Haven Connecticut

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

3. Center for Applied Statistics and School of Statistics Renmin University of China Beijing China

Funder

National Natural Science Foundation of China

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13428

Reference29 articles.

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3. Convex Optimization

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

5. deSouza M.C.andHiga C.H.(2018)Reverse engineering of gene regulatory networks combining dynamic Bayesian networks and prior biological knowledge. In:International Conference on Computational Science and Its Applications pp.323–336.Springer.

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