Integrating node embeddings and biological annotations for genes to predict disease-gene associations-Reference-Cited by-同舟云学术

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Integrating node embeddings and biological annotations for genes to predict disease-gene associations

Published:2018-12 Issue:S9 Volume:12 Page:
ISSN:1752-0509
Container-title:BMC Systems Biology
language:en
Short-container-title:BMC Syst Biol

Author:

Ata Sezin Kircali,Ou-Yang Le,Fang Yuan,Kwoh Chee-Keong,Wu Min,Li Xiao-Li

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Modeling and Simulation,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12918-018-0662-y.pdf

Reference36 articles.

1. Navlakha S, Kingsford C. The power of protein interaction networks for associating genes with diseases. Bioinformatics. 2010; 26(8):1057. https://doi.org/doi:10.1093/bioinformatics/btq076 .

2. Zhou X, Menche J, Barabási A-L, Sharma A. Human symptoms–disease network. Nat Commun. 2014; 5:4212.

3. Barabási A-L, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011; 12(1):56.

4. Xu J, Li Y. Discovering disease-genes by topological features in human protein–protein interaction network. Bioinformatics. 2006; 22(22):2800–5.

5. Suthram S, Dudley JT, Chiang AP, Chen R, Hastie TJ, Butte AJ. Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets. PLoS Comput Biol. 2010; 6(2):1–10. https://doi.org/10.1371/journal.pcbi.1000662 .

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