Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma-Reference-Cited by-同舟云学术

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Bayesian Approach Integrating Prior Knowledge for Identifying miRNA-mRNA Interactions in Hepatocellular Carcinoma

Published:2023-12-05 Issue: Volume:13 Page:3768-3774
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
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Author:

Guo Yichen¹,Denis Marie²,Varghese Rency S.¹,Jain Sidharth S.¹,Tadesse Mahlet G.³,Ressom Habtom W.¹

Affiliation:

1. Georgetown University Medical Center,Lombardi Comprehensive Cancer Center,Washington,D.C,United States

2. CIRAD, UMR AGAP Institut,Montpellier,France

3. Georgetown University,Dept. of Mathematics and Statistics,Washington,D.C,United States

Funder

National Institutes of Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385314.pdf?arnumber=10385314

Reference17 articles.

1. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods

2. Tissue- and Serum-Associated Biomarkers of Hepatocellular Carcinoma

3. Evaluation of hierarchical models for integrative genomic analyses

4. A Bayesian two-step integrative procedure incorporating prior knowledge for the identification of miRNA-mRNAs involved in hepatocellular carcinoma

5. The huge package for high-dimensional undirected graph estimation in R;Zhao;The Journal of Machine Learning Research,2012

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